Zipf1 Weighted Models with All Treshold Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | 0 |
| LR_7[cache_size=0.01,treshold=0.5] | 0 |
| LR_7[cache_size=0.01,treshold=0.6] | 0 |
| LR_7[cache_size=0.01,treshold=0.7] | 0 |
| LR_7[cache_size=0.01,treshold=0.8] | 100 |
| LR_7[cache_size=0.01,treshold=0.9] | 100 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 100 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 100 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 100 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 100 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 100 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 100 |
| LR_8[cache_size=0.01,treshold=0.3] | 0 |
| LR_8[cache_size=0.01,treshold=0.5] | 0 |
| LR_8[cache_size=0.01,treshold=0.6] | 0 |
| LR_8[cache_size=0.01,treshold=0.7] | 0 |
| LR_8[cache_size=0.01,treshold=0.8] | 100 |
| LR_8[cache_size=0.01,treshold=0.9] | 100 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | 0 |
| LR_9[cache_size=0.01,treshold=0.5] | 0 |
| LR_9[cache_size=0.01,treshold=0.6] | 0 |
| LR_9[cache_size=0.01,treshold=0.7] | 0 |
| LR_9[cache_size=0.01,treshold=0.8] | 100 |
| LR_9[cache_size=0.01,treshold=0.9] | 100 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 0 |
| LR_7[cache_size=0.1,treshold=0.5] | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 0 |
| LR_7[cache_size=0.1,treshold=0.8] | 100 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 40 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 100 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 100 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_8[cache_size=0.1,treshold=0.3] | 0 |
| LR_8[cache_size=0.1,treshold=0.5] | 0 |
| LR_8[cache_size=0.1,treshold=0.6] | 0 |
| LR_8[cache_size=0.1,treshold=0.7] | 0 |
| LR_8[cache_size=0.1,treshold=0.8] | 100 |
| LR_8[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | 0 |
| LR_9[cache_size=0.1,treshold=0.5] | 0 |
| LR_9[cache_size=0.1,treshold=0.6] | 0 |
| LR_9[cache_size=0.1,treshold=0.7] | 0 |
| LR_9[cache_size=0.1,treshold=0.8] | 100 |
| LR_9[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | 0 |
| LR_7[cache_size=0.2,treshold=0.8] | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 100 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 100 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_8[cache_size=0.2,treshold=0.3] | 0 |
| LR_8[cache_size=0.2,treshold=0.5] | 0 |
| LR_8[cache_size=0.2,treshold=0.6] | 0 |
| LR_8[cache_size=0.2,treshold=0.7] | 0 |
| LR_8[cache_size=0.2,treshold=0.8] | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | 0 |
| LR_9[cache_size=0.2,treshold=0.5] | 0 |
| LR_9[cache_size=0.2,treshold=0.6] | 0 |
| LR_9[cache_size=0.2,treshold=0.7] | 0 |
| LR_9[cache_size=0.2,treshold=0.8] | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 0 |
| LR_7[cache_size=0.4,treshold=0.5] | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | 0 |
| LR_7[cache_size=0.4,treshold=0.8] | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 20 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_8[cache_size=0.4,treshold=0.3] | 0 |
| LR_8[cache_size=0.4,treshold=0.5] | 0 |
| LR_8[cache_size=0.4,treshold=0.6] | 0 |
| LR_8[cache_size=0.4,treshold=0.7] | 0 |
| LR_8[cache_size=0.4,treshold=0.8] | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | 0 |
| LR_9[cache_size=0.4,treshold=0.5] | 0 |
| LR_9[cache_size=0.4,treshold=0.6] | 0 |
| LR_9[cache_size=0.4,treshold=0.7] | 0 |
| LR_9[cache_size=0.4,treshold=0.8] | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | 72.9112 | 72.8872 | 72.9017 | 72.9019 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0835 | 58.065 | 58.0713 | 58.0668 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1366 | 46.1098 | 46.1229 | 46.1218 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.7011 | 28.6634 | 28.6839 | 28.6851 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.88137 | 6.86902 | 6.87683 | 6.879 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34773 | 1.34061 | 1.34513 | 1.34701 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8282 | 67.7813 | 67.7968 | 67.7885 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4884 | 56.4581 | 56.4771 | 56.4821 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3661 | 48.3242 | 48.3463 | 48.3529 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3781 | 36.3493 | 36.366 | 36.3718 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3437 | 16.3183 | 16.3308 | 16.3313 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2435 | 54.2164 | 54.2332 | 54.2382 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2313 | 34.1913 | 34.2091 | 34.2059 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2426 | 20.2062 | 20.2199 | 20.2198 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.49576 | 3.47962 | 3.48513 | 3.48392 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.864 | 60.8278 | 60.8435 | 60.8458 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1582 | 45.1236 | 45.1456 | 45.1473 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7875 | 33.7483 | 33.7655 | 33.7628 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7241 | 17.7117 | 17.7185 | 17.7203 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2614 | 85.2307 | 85.2454 | 85.2447 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6617 | 63.62 | 63.6488 | 63.656 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.2107 | 37.1812 | 37.1935 | 37.195 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0123591 | 0.0110348 | 0.0114865 | 0.0111867 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.00053652 | 0.000335257 | 0.000427203 | 0.000430919 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7658 | 57.7157 | 57.7425 | 57.7425 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.00120657 | 0.0009003 | 0.00106129 | 0.0011401 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000277841 | 0.000201154 | 0.000226053 | 0.000220247 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.313 | 74.2862 | 74.2995 | 74.305 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.7027 | 25.6594 | 25.6791 | 25.6759 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00125507 | 0.000976922 | 0.00113026 | 0.00116827 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000277841 | 0.000210737 | 0.000233716 | 0.000220312 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4242 | 55.403 | 55.4171 | 55.4175 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 25.525 | 25.5074 | 25.516 | 25.5143 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.99214 | 8.96998 | 8.98099 | 8.98582 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.98432 | 2.96627 | 2.97332 | 2.97224 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27474 | 1.26928 | 1.27208 | 1.27255 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 0.429829 | 0.427136 | 0.428901 | 0.429108 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4934 | 64.4729 | 64.4842 | 64.4867 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 41.5705 | 41.5356 | 41.5571 | 41.5667 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.9419 | 24.9275 | 24.935 | 24.937 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.43222 | 7.41796 | 7.42725 | 7.42859 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.26341 | 2.25372 | 2.25761 | 2.2573 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 0.699119 | 0.694812 | 0.696044 | 0.695142 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8949 | 72.8688 | 72.8854 | 72.8871 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1436 | 58.1251 | 58.1344 | 58.1308 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3455 | 46.3178 | 46.3289 | 46.3244 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7541 | 28.7157 | 28.7362 | 28.7385 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.72185 | 6.70669 | 6.71479 | 6.71621 |
| LR_8[cache_size=0.01,treshold=0.9] | 1.36124 | 1.35674 | 1.35946 | 1.35994 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8117 | 67.764 | 67.7806 | 67.7732 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4736 | 56.4458 | 56.463 | 56.4691 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3509 | 48.3121 | 48.3326 | 48.339 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3647 | 36.3337 | 36.3519 | 36.3568 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.4056 | 16.3827 | 16.3942 | 16.3936 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2421 | 54.2154 | 54.232 | 54.2363 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2365 | 34.1957 | 34.2134 | 34.209 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2506 | 20.213 | 20.2268 | 20.2266 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.51122 | 3.49392 | 3.50028 | 3.49936 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8584 | 60.8218 | 60.8384 | 60.8414 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1495 | 45.1174 | 45.139 | 45.1424 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7741 | 33.736 | 33.7523 | 33.7508 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7518 | 17.7347 | 17.7434 | 17.7432 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0577 | 86.0382 | 86.0477 | 86.0474 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6526 | 63.6064 | 63.6383 | 63.6434 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6564 | 36.6169 | 36.6326 | 36.6337 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.5762 | 57.5278 | 57.554 | 57.5526 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1675 | 74.1355 | 74.1503 | 74.1536 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7571 | 24.7182 | 24.7302 | 24.7213 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8692 | 72.8397 | 72.8569 | 72.8571 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3317 | 58.3163 | 58.3231 | 58.3185 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.592 | 46.5631 | 46.5781 | 46.5806 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6895 | 28.6544 | 28.6731 | 28.6736 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.40022 | 6.38711 | 6.39412 | 6.39562 |
| LR_9[cache_size=0.01,treshold=0.9] | 1.35214 | 1.34658 | 1.34921 | 1.34993 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8225 | 67.7773 | 67.7931 | 67.7856 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4888 | 56.4576 | 56.476 | 56.4804 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3555 | 48.3178 | 48.337 | 48.343 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3463 | 36.3114 | 36.3307 | 36.3352 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3956 | 16.3763 | 16.3862 | 16.3844 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2361 | 54.2072 | 54.2247 | 54.2296 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2111 | 34.1725 | 34.1891 | 34.1862 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2447 | 20.2062 | 20.2225 | 20.2228 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.46897 | 3.45307 | 3.45957 | 3.45973 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8445 | 60.8133 | 60.8274 | 60.8313 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1412 | 45.1099 | 45.1313 | 45.1346 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7629 | 33.7228 | 33.7411 | 33.7398 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7987 | 17.7811 | 17.7919 | 17.7907 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6303 | 86.6167 | 86.6239 | 86.6227 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.5077 | 64.469 | 64.4944 | 64.4977 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.5018 | 35.4628 | 35.4818 | 35.484 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.249 | 58.202 | 58.2256 | 58.2289 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.428 | 75.3953 | 75.4157 | 75.4193 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0517 | 23.0227 | 23.0355 | 23.0339 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1648 | 83.1519 | 83.1572 | 83.1548 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.9045 | 63.8833 | 63.8961 | 63.8992 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9958 | 42.9828 | 42.9889 | 42.9862 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0626 | 21.0399 | 21.053 | 21.0563 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.491 | 53.4687 | 53.4817 | 53.4827 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9372 | 71.9115 | 71.9242 | 71.9266 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.0626 | 21.0399 | 21.053 | 21.0563 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7381 | 88.7268 | 88.7324 | 88.7316 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9356 | 78.8953 | 78.9192 | 78.9232 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.2075 | 76.1658 | 76.1886 | 76.1883 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.7274 | 83.6894 | 83.7029 | 83.6977 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4806 | 73.4522 | 73.4674 | 73.4736 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2362 | 59.1994 | 59.2233 | 59.2247 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8454 | 47.7884 | 47.822 | 47.8263 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4491 | 30.4138 | 30.4274 | 30.4225 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.21053 | 5.17244 | 5.18877 | 5.18922 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000555101 | 0.000506297 | 0.000531545 | 0.000525669 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7924 | 75.7577 | 75.78 | 75.7855 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9465 | 63.9038 | 63.9266 | 63.9337 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9288 | 53.8688 | 53.9037 | 53.9124 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7885 | 29.7363 | 29.7606 | 29.7615 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.2267 | 63.1686 | 63.1959 | 63.1987 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5692 | 28.5202 | 28.538 | 28.5346 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0284907 | 0.0252565 | 0.0265186 | 0.0260401 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0661 | 70.0286 | 70.0453 | 70.0476 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.062 | 52.0046 | 52.041 | 52.054 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3546 | 28.301 | 28.3194 | 28.3142 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 7.7862e-05 | 0 | 3.11469e-05 | 2.92038e-05 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.629 | 83.5877 | 83.6089 | 83.6057 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9918 | 59.9463 | 59.9715 | 59.9793 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7766 | 38.6998 | 38.7353 | 38.741 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.27606 | 1.24021 | 1.26179 | 1.26404 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 3.89545e-05 | 0 | 1.55786e-05 | 9.73649e-06 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.5434 | 58.4967 | 58.524 | 58.5267 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.926416 | 0.887802 | 0.904352 | 0.900935 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 3.89545e-05 | 0 | 1.75254e-05 | 9.73649e-06 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9182 | 72.8858 | 72.902 | 72.9004 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4926 | 34.4349 | 34.4566 | 34.4537 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00968408 | 0.0091523 | 0.00935943 | 0.00924195 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.2086 | 58.162 | 58.189 | 58.1923 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 29.9377 | 29.9018 | 29.9186 | 29.9179 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.2041 | 11.1792 | 11.1922 | 11.1894 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0680096 | 0.0653948 | 0.0667291 | 0.0667113 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.000953906 | 0.000905494 | 0.00092874 | 0.000925169 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 0.000759446 | 0.000710563 | 0.00073988 | 0.000749874 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4711 | 66.4393 | 66.4598 | 66.4702 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 45.5771 | 45.5347 | 45.5614 | 45.562 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4669 | 29.4313 | 29.4509 | 29.4519 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.79403 | 8.77334 | 8.78646 | 8.78731 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00169452 | 0.00140205 | 0.00154402 | 0.00148926 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0.000759154 | 0.000681362 | 0.000720407 | 0.0007205 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4806 | 73.4536 | 73.4681 | 73.4754 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2181 | 59.1829 | 59.2057 | 59.2066 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8241 | 47.7686 | 47.8003 | 47.8032 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4397 | 30.4058 | 30.4185 | 30.4119 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.23996 | 5.20562 | 5.2224 | 5.22281 |
| LR_8[cache_size=0.1,treshold=0.9] | 0.00056484 | 0.000535507 | 0.000551015 | 0.000545138 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7952 | 75.7602 | 75.7827 | 75.7877 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9446 | 63.9002 | 63.9235 | 63.9312 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9202 | 53.8608 | 53.8949 | 53.9047 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.8001 | 29.7536 | 29.7749 | 29.7767 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.2181 | 63.1602 | 63.1882 | 63.1913 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5571 | 28.5076 | 28.526 | 28.5238 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0287048 | 0.0256946 | 0.0269041 | 0.0264781 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.1041 | 70.0658 | 70.0844 | 70.087 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9551 | 51.8869 | 51.9306 | 51.948 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2463 | 28.193 | 28.212 | 28.2081 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00571312 | 0.00379806 | 0.00442746 | 0.00438992 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8626 | 83.835 | 83.8475 | 83.8441 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1868 | 60.1425 | 60.1657 | 60.1682 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6699 | 38.5923 | 38.629 | 38.6328 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.348555 | 0.302971 | 0.325305 | 0.322731 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.6902 | 58.6421 | 58.668 | 58.6733 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.212244 | 0.17482 | 0.193878 | 0.193242 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8589 | 72.828 | 72.8436 | 72.8426 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.539 | 34.4772 | 34.5007 | 34.4972 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.0102972 | 0.00962939 | 0.00990655 | 0.00978241 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4937 | 73.4658 | 73.4809 | 73.4873 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.2617 | 59.2255 | 59.249 | 59.2495 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8607 | 47.8043 | 47.8393 | 47.8454 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.4301 | 30.3941 | 30.409 | 30.4056 |
| LR_9[cache_size=0.1,treshold=0.8] | 5.12955 | 5.09796 | 5.10997 | 5.11123 |
| LR_9[cache_size=0.1,treshold=0.9] | 0.000545034 | 0.000516034 | 0.000529597 | 0.000525669 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8057 | 75.7712 | 75.7945 | 75.8 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9373 | 63.8902 | 63.9144 | 63.9207 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8888 | 53.8284 | 53.8645 | 53.8731 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.795 | 29.7477 | 29.7683 | 29.7692 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.0011589 | 0.00074971 | 0.00100663 | 0.00109018 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.2133 | 63.1545 | 63.1829 | 63.1871 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.543 | 28.4933 | 28.5112 | 28.5068 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0387013 | 0.034438 | 0.0362304 | 0.0360764 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.000233631 | 0.000146047 | 0.0001986 | 0.000214142 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.112 | 70.0761 | 70.0929 | 70.0941 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9016 | 51.8346 | 51.8748 | 51.8849 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2028 | 28.1436 | 28.1652 | 28.1618 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00971514 | 0.00772104 | 0.0089115 | 0.00941253 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9784 | 83.9536 | 83.9649 | 83.9617 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2505 | 60.2055 | 60.2296 | 60.2324 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5841 | 38.5032 | 38.5403 | 38.5437 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0323517 | 0.0284586 | 0.0300374 | 0.0296905 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7956 | 58.7424 | 58.7694 | 58.7759 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0281544 | 0.0252565 | 0.0264548 | 0.0265709 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9787 | 72.9474 | 72.9631 | 72.9625 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4379 | 34.3807 | 34.4015 | 34.397 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00916825 | 0.00848782 | 0.00880064 | 0.0087258 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3511 | 78.3288 | 78.3419 | 78.341 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2431 | 62.1872 | 62.2175 | 62.2269 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6731 | 47.6203 | 47.6407 | 47.6343 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1949 | 23.1637 | 23.1836 | 23.1838 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.2032 | 61.1443 | 61.1787 | 61.1887 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9354 | 19.8855 | 19.9158 | 19.9197 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4953 | 72.4485 | 72.4722 | 72.4755 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4933 | 44.4514 | 44.4708 | 44.4691 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.1059 | 20.0742 | 20.0878 | 20.085 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1198 | 98.1126 | 98.1156 | 98.1159 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9061 | 95.8976 | 95.9029 | 95.9036 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.891 | 94.8782 | 94.8854 | 94.8888 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.4697 | 97.4579 | 97.4629 | 97.464 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8603 | 73.8424 | 73.8544 | 73.856 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3858 | 59.3529 | 59.3682 | 59.3645 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7083 | 47.6877 | 47.7012 | 47.7035 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8396 | 29.8127 | 29.8321 | 29.8348 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.69871 | 4.62173 | 4.65984 | 4.66176 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2642 | 81.246 | 81.2538 | 81.2525 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8995 | 66.8546 | 66.875 | 66.8721 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4722 | 56.4611 | 56.4676 | 56.4672 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00734788 | 0.00627782 | 0.00680156 | 0.00681926 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000399983 | 0.000219937 | 0.000315886 | 0.000319889 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8205 | 65.7842 | 65.8017 | 65.7992 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000849965 | 0.000619349 | 0.000711758 | 0.000679926 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1319 | 73.1152 | 73.1232 | 73.1218 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6677 | 53.6658 | 53.6668 | 53.6674 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00238931 | 0.0017194 | 0.00206727 | 0.00211991 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5892 | 82.5715 | 82.5787 | 82.5759 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8093 | 59.7863 | 59.7971 | 59.7959 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6949 | 39.6482 | 39.6709 | 39.6686 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.14884 | 4.11541 | 4.13316 | 4.13037 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3578 | 58.3373 | 58.3465 | 58.3439 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.55626 | 4.52937 | 4.54327 | 4.54304 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6187 | 71.6027 | 71.6098 | 71.6096 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.9216 | 35.8698 | 35.8926 | 35.8913 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.2357 | 3.13582 | 3.18307 | 3.17679 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0.000139994 | 5.99827e-05 | 8.99711e-05 | 7.99722e-05 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 4.99475e-05 | 9.99959e-06 | 2.99851e-05 | 2.99968e-05 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 1.99942e-05 | 0 | 3.99885e-06 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.2102 | 58.1745 | 58.1917 | 58.1928 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 29.2068 | 29.1773 | 29.1976 | 29.2006 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4566 | 10.3949 | 10.4257 | 10.4256 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7312 | 66.7046 | 66.7151 | 66.7107 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 45.2877 | 45.2688 | 45.2752 | 45.2721 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.803 | 28.7651 | 28.7917 | 28.7981 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.03817 | 7.99152 | 8.01782 | 8.02019 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.8387 | 73.8212 | 73.8336 | 73.836 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3779 | 59.3451 | 59.3604 | 59.3574 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.7311 | 47.7086 | 47.7239 | 47.728 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.917 | 29.8913 | 29.9089 | 29.9112 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.83334 | 4.74239 | 4.79185 | 4.79728 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3732 | 81.3563 | 81.3634 | 81.3625 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.9198 | 66.8755 | 66.8963 | 66.895 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5253 | 56.5156 | 56.52 | 56.5185 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.823 | 65.7874 | 65.8041 | 65.8017 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1447 | 73.1277 | 73.1355 | 73.1327 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7185 | 53.7152 | 53.7165 | 53.7159 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5519 | 82.5307 | 82.5397 | 82.5381 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8017 | 59.7802 | 59.7899 | 59.7881 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7323 | 39.6844 | 39.7078 | 39.7041 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.31487 | 4.28765 | 4.30283 | 4.30227 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3326 | 58.3115 | 58.3211 | 58.3199 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.62462 | 4.59773 | 4.61148 | 4.61077 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7434 | 71.7241 | 71.734 | 71.7357 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8916 | 35.8429 | 35.8637 | 35.8626 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.88387 | 2.81985 | 2.85476 | 2.85546 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8693 | 73.8515 | 73.8635 | 73.8653 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.4066 | 59.3738 | 59.3893 | 59.3861 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7398 | 47.7164 | 47.7314 | 47.7346 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8617 | 29.8352 | 29.8537 | 29.8565 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.70314 | 4.62542 | 4.6636 | 4.66471 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1785 | 81.1599 | 81.1692 | 81.1711 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8726 | 66.8309 | 66.851 | 66.8496 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4336 | 56.4218 | 56.4292 | 56.4299 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0129086 | 0.0117876 | 0.0124336 | 0.0125295 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00326906 | 0.00245915 | 0.00298893 | 0.00311966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000199992 | 8.99741e-05 | 0.000145953 | 0.000129955 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7836 | 65.7456 | 65.7632 | 65.7604 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00414881 | 0.00309892 | 0.00359077 | 0.00361985 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.00102996 | 0.000769732 | 0.000897685 | 0.000899741 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0.000149994 | 4.99475e-05 | 7.79792e-05 | 6.99798e-05 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6973 | 71.6539 | 71.6778 | 71.6811 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.907 | 47.8637 | 47.8889 | 47.8873 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.7058 | 27.6649 | 27.685 | 27.6868 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6194 | 82.6005 | 82.6088 | 82.6057 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8153 | 59.7931 | 59.8038 | 59.803 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6478 | 39.5967 | 39.622 | 39.6175 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.96527 | 3.93742 | 3.95124 | 3.95278 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3706 | 58.3493 | 58.359 | 58.3555 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.43623 | 4.41164 | 4.42373 | 4.42291 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.787 | 71.7699 | 71.7799 | 71.7831 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8676 | 35.8206 | 35.8401 | 35.8388 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.69928 | 2.63889 | 2.67296 | 2.6757 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7827 | 79.773 | 79.7775 | 79.7776 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5598 | 65.5148 | 65.5391 | 65.5437 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.044 | 53.0295 | 53.0372 | 53.0391 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5376 | 64.4798 | 64.5076 | 64.5048 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6257 | 72.608 | 72.6152 | 72.6135 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.8896 | 49.8702 | 49.879 | 49.8794 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.985 | 98.9794 | 98.9816 | 98.9811 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8342 | 97.8299 | 97.8322 | 97.8322 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7195 | 98.7139 | 98.7164 | 98.7165 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2504 | 74.2035 | 74.2236 | 74.2211 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5458 | 59.4938 | 59.514 | 59.5067 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.1282 | 47.0439 | 47.084 | 47.0885 |
| LR_7[cache_size=0.4,treshold=0.7] | 29.0067 | 28.8549 | 28.9199 | 28.9118 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.85173 | 6.80302 | 6.83317 | 6.84329 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6364 | 80.5942 | 80.6168 | 80.6126 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6696 | 59.6298 | 59.6494 | 59.6452 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2799 | 41.1786 | 41.2212 | 41.2187 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.14622 | 9.07493 | 9.09984 | 9.09161 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4721 | 54.4275 | 54.4431 | 54.4419 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.95425 | 3.8717 | 3.90405 | 3.90182 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5555 | 67.5393 | 67.5453 | 67.5409 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8461 | 32.7577 | 32.7894 | 32.7867 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.20708 | 1.13725 | 1.16519 | 1.16108 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4395 | 80.4036 | 80.4236 | 80.4182 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3149 | 59.2213 | 59.2666 | 59.2741 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1381 | 41.0351 | 41.0759 | 41.0723 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.73816 | 9.67011 | 9.68884 | 9.68025 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4797 | 54.436 | 54.451 | 54.4495 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.99379 | 3.90988 | 3.94366 | 3.9441 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5177 | 67.5005 | 67.5073 | 67.5015 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8409 | 32.7518 | 32.7837 | 32.7803 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.27854 | 1.21032 | 1.23588 | 1.232 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7618 | 55.6841 | 55.7177 | 55.7096 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 23.8235 | 23.7126 | 23.7677 | 23.7731 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.55555 | 7.52466 | 7.54661 | 7.55269 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00235913 | 0.00129949 | 0.00168828 | 0.00139621 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3397 | 65.3061 | 65.3203 | 65.3204 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 40.9881 | 40.9229 | 40.9505 | 40.954 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4619 | 23.3617 | 23.4114 | 23.4125 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.06344 | 5.99027 | 6.02358 | 6.02036 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2465 | 74.1996 | 74.2199 | 74.2175 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5418 | 59.49 | 59.5097 | 59.5021 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.1254 | 47.0407 | 47.0807 | 47.0844 |
| LR_8[cache_size=0.4,treshold=0.7] | 29.01 | 28.8569 | 28.9221 | 28.9133 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.8552 | 6.80659 | 6.83671 | 6.84693 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6287 | 80.5871 | 80.6099 | 80.6074 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6621 | 59.6227 | 59.6426 | 59.6394 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.283 | 41.1815 | 41.2248 | 41.2225 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.16032 | 9.09081 | 9.11483 | 9.10767 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4732 | 54.4286 | 54.4443 | 54.4433 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.97674 | 3.89142 | 3.9258 | 3.92493 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5519 | 67.5344 | 67.5412 | 67.5369 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8346 | 32.7455 | 32.7772 | 32.7728 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.19318 | 1.12246 | 1.15034 | 1.14557 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4316 | 80.3961 | 80.4157 | 80.4101 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2998 | 59.2023 | 59.2485 | 59.2557 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1176 | 41.0138 | 41.0557 | 41.0527 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.71146 | 9.6443 | 9.66265 | 9.65421 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4732 | 54.4286 | 54.4443 | 54.4433 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.97674 | 3.89142 | 3.9258 | 3.92493 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5117 | 67.4935 | 67.5003 | 67.4942 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8466 | 32.7582 | 32.7899 | 32.7871 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.30925 | 1.24089 | 1.2663 | 1.26079 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2536 | 74.2062 | 74.2265 | 74.2239 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.5489 | 59.4975 | 59.517 | 59.5096 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.1293 | 47.0449 | 47.0854 | 47.09 |
| LR_9[cache_size=0.4,treshold=0.7] | 29.0014 | 28.849 | 28.9149 | 28.9077 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.845 | 6.79686 | 6.82601 | 6.83324 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6459 | 80.6046 | 80.6267 | 80.6239 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.676 | 59.6376 | 59.6559 | 59.6513 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2734 | 41.1719 | 41.2153 | 41.2133 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10534 | 9.03608 | 9.05942 | 9.05079 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4746 | 54.4303 | 54.4459 | 54.445 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.93198 | 3.85022 | 3.88232 | 3.87906 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5552 | 67.5382 | 67.5444 | 67.5399 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8167 | 32.7269 | 32.7589 | 32.7553 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.13514 | 1.06181 | 1.09055 | 1.08333 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4505 | 80.4124 | 80.4333 | 80.4278 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3114 | 59.2161 | 59.2623 | 59.2698 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1118 | 41.0056 | 41.0488 | 41.0456 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65327 | 9.59034 | 9.60868 | 9.60011 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4825 | 54.4386 | 54.4539 | 54.4519 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9347 | 3.85215 | 3.88473 | 3.88183 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5249 | 67.5064 | 67.5136 | 67.5077 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8334 | 32.7449 | 32.7763 | 32.7715 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.24975 | 1.17907 | 1.20582 | 1.19918 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2779 | 86.2688 | 86.2733 | 86.2719 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4655 | 77.4274 | 77.4485 | 77.4519 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4765 | 56.4193 | 56.4422 | 56.4435 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.6069 | 74.5577 | 74.5913 | 74.598 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0729 | 81.0331 | 81.0526 | 81.0465 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6132 | 99.606 | 99.6094 | 99.6089 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0597 | 99.0545 | 99.0562 | 99.0554 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4498 | 99.4461 | 99.4481 | 99.4481 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 43.4673 | 41.4753 | 42.6567 | 43.0175 |
| Zipf Optimal Distribution | 17.0869 | 6.59027 | 12.1282 | 13.1121 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | -5.65544 | -5.67042 | -5.65936 | -5.65663 |
| LR_7[cache_size=0.01,treshold=0.5] | -3.68557 | -3.70064 | -3.69388 | -3.69557 |
| LR_7[cache_size=0.01,treshold=0.6] | -2.43525 | -2.44784 | -2.44125 | -2.44002 |
| LR_7[cache_size=0.01,treshold=0.7] | -1.01491 | -1.02179 | -1.01845 | -1.0189 |
| LR_7[cache_size=0.01,treshold=0.8] | 0.0698421 | 0.0666382 | 0.0684527 | 0.0693389 |
| LR_7[cache_size=0.01,treshold=0.9] | 0.0352876 | 0.0328255 | 0.0341523 | 0.0340449 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58077 | -4.59878 | -4.58505 | -4.58171 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | -3.0176 | -3.03426 | -3.02322 | -3.02186 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08708 | -2.09713 | -2.09183 | -2.0911 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00321 | -1.01315 | -1.00922 | -1.011 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | -0.0120911 | -0.020723 | -0.0158914 | -0.0153021 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -2.73975 | -2.75487 | -2.74516 | -2.74334 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | -0.832428 | -0.841616 | -0.837077 | -0.838541 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | -0.0974827 | -0.102628 | -0.100187 | -0.100434 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0.0745208 | 0.0725304 | 0.0737828 | 0.0737956 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -3.58218 | -3.59772 | -3.58639 | -3.58329 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.75765 | -1.76887 | -1.76279 | -1.76166 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | -0.807009 | -0.815701 | -0.811759 | -0.813588 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | -0.032572 | -0.0397191 | -0.0357807 | -0.0362808 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | -8.4021 | -8.41912 | -8.40882 | -8.40943 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59918 | -5.61415 | -5.60567 | -5.60483 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | -2.8999 | -2.91011 | -2.90359 | -2.90345 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | -0.00123396 | -0.0017273 | -0.00152992 | -0.00148085 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | -0.000246758 | -4.93515e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.9354 | -4.95097 | -4.94202 | -4.93997 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | -0.000246808 | -0.000148054 | -0.000246702 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -6.90033 | -6.91705 | -6.90691 | -6.90569 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.90768 | -1.91523 | -1.91144 | -1.90972 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | -0.000246808 | -0.000197407 | -0.000246758 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | -3.37614 | -3.39188 | -3.38429 | -3.38525 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | -0.793682 | -0.799412 | -0.796607 | -0.797055 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 0.0241856 | 0.0214631 | 0.0232454 | 0.0236887 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 0.0678677 | 0.0651574 | 0.0661331 | 0.066131 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 0.0333134 | 0.0313446 | 0.0323756 | 0.0320785 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 0.0111064 | 0.0101171 | 0.0106603 | 0.0106082 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | -4.46582 | -4.48105 | -4.47287 | -4.47239 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | -2.01354 | -2.02284 | -2.01676 | -2.01481 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | -0.760859 | -0.766833 | -0.763343 | -0.762754 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 0.0629232 | 0.060442 | 0.0618887 | 0.0626786 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 0.0540474 | 0.0518297 | 0.0531039 | 0.0530529 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 0.0185075 | 0.017273 | 0.0179151 | 0.0177702 |
| LR_8[cache_size=0.01,treshold=0.3] | -5.65494 | -5.67042 | -5.65912 | -5.65639 |
| LR_8[cache_size=0.01,treshold=0.5] | -3.6952 | -3.71076 | -3.7035 | -3.70497 |
| LR_8[cache_size=0.01,treshold=0.6] | -2.44932 | -2.46166 | -2.45566 | -2.45458 |
| LR_8[cache_size=0.01,treshold=0.7] | -1.01111 | -1.01808 | -1.0144 | -1.01446 |
| LR_8[cache_size=0.01,treshold=0.8] | 0.0767522 | 0.0742574 | 0.0754115 | 0.0752611 |
| LR_8[cache_size=0.01,treshold=0.9] | 0.0357811 | 0.0335659 | 0.0346951 | 0.034785 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | -4.5783 | -4.59631 | -4.58258 | -4.57924 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | -3.01562 | -3.03228 | -3.02129 | -3.01974 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08535 | -2.09515 | -2.09025 | -2.08986 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00173 | -1.01167 | -1.00769 | -1.00952 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | -0.00863652 | -0.0180093 | -0.0130289 | -0.012834 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -2.73975 | -2.75487 | -2.74502 | -2.74309 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | -0.833169 | -0.842109 | -0.837669 | -0.838788 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | -0.0977295 | -0.103368 | -0.100828 | -0.101174 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0.0747676 | 0.0725304 | 0.0738815 | 0.0737956 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -3.58144 | -3.59698 | -3.58579 | -3.58267 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.75741 | -1.76789 | -1.7621 | -1.76092 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | -0.806269 | -0.814467 | -0.810574 | -0.812107 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | -0.030849 | -0.0379921 | -0.0341521 | -0.0345531 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | -8.52449 | -8.54104 | -8.53082 | -8.52986 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59696 | -5.61168 | -5.60354 | -5.60267 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | -2.84684 | -2.85853 | -2.85122 | -2.8504 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.91418 | -4.92876 | -4.9206 | -4.91801 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -6.88824 | -6.9052 | -6.89457 | -6.89317 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.82897 | -1.83719 | -1.83272 | -1.83169 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | -5.6581 | -5.67239 | -5.66163 | -5.65865 |
| LR_9[cache_size=0.01,treshold=0.5] | -3.71543 | -3.73001 | -3.72275 | -3.72372 |
| LR_9[cache_size=0.01,treshold=0.6] | -2.46486 | -2.47598 | -2.47012 | -2.46815 |
| LR_9[cache_size=0.01,treshold=0.7] | -0.994186 | -1.00229 | -0.998066 | -0.998416 |
| LR_9[cache_size=0.01,treshold=0.8] | 0.0846408 | 0.0816584 | 0.0833573 | 0.0836508 |
| LR_9[cache_size=0.01,treshold=0.9] | 0.0357811 | 0.0335659 | 0.0346458 | 0.0345383 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58052 | -4.59779 | -4.58455 | -4.58121 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | -3.01686 | -3.03401 | -3.02258 | -3.02112 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08535 | -2.0954 | -2.0901 | -2.08937 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | -0.998766 | -1.0087 | -1.00483 | -1.00631 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | -0.000493515 | -0.00962139 | -0.00458954 | -0.00444255 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -2.73876 | -2.75364 | -2.74403 | -2.7421 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | -0.830948 | -0.839888 | -0.835497 | -0.837031 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | -0.0952616 | -0.100901 | -0.0982123 | -0.0984765 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0.0752611 | 0.0735173 | 0.0745725 | 0.0747779 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -3.57996 | -3.59501 | -3.58441 | -3.58181 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.75642 | -1.7669 | -1.76111 | -1.75994 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | -0.804541 | -0.812986 | -0.809192 | -0.810874 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | -0.0278836 | -0.0342916 | -0.0307961 | -0.0310978 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | -8.61998 | -8.6336 | -8.62434 | -8.62364 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | -5.69689 | -5.71065 | -5.70205 | -5.70079 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | -2.74345 | -2.75463 | -2.74842 | -2.74799 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.98771 | -5.00157 | -4.99334 | -4.99062 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -7.05011 | -7.06291 | -7.05428 | -7.05223 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.69226 | -1.69854 | -1.69542 | -1.69454 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | -7.43061 | -7.44472 | -7.43415 | -7.43189 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | -5.40769 | -5.41917 | -5.41131 | -5.40919 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | -3.92616 | -3.93264 | -3.92944 | -3.92947 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | -2.1115 | -2.11627 | -2.11374 | -2.11292 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.22967 | -4.23449 | -4.23168 | -4.23204 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -5.91774 | -5.93154 | -5.92128 | -5.91937 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -2.1115 | -2.11627 | -2.11374 | -2.11292 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | -8.89485 | -8.90928 | -8.89904 | -8.89709 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | -7.4812 | -7.49581 | -7.48631 | -7.48519 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -7.11723 | -7.13103 | -7.12199 | -7.11933 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -8.1472 | -8.16589 | -8.15401 | -8.15315 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | -8.14738 | -8.16586 | -8.15211 | -8.14887 |
| LR_7[cache_size=0.1,treshold=0.5] | -5.06395 | -5.07163 | -5.06717 | -5.06612 |
| LR_7[cache_size=0.1,treshold=0.6] | -3.21156 | -3.22139 | -3.21605 | -3.21626 |
| LR_7[cache_size=0.1,treshold=0.7] | -1.21318 | -1.22114 | -1.21774 | -1.21703 |
| LR_7[cache_size=0.1,treshold=0.8] | 0.107101 | 0.100055 | 0.104549 | 0.104761 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 | -0.000467681 | -0.000280511 | -0.000467327 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | -8.5622 | -8.57836 | -8.56731 | -8.56651 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | -5.76907 | -5.79047 | -5.77488 | -5.77175 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89765 | -3.91643 | -3.90478 | -3.90363 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48348 | -1.49776 | -1.48959 | -1.48797 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -5.61104 | -5.63613 | -5.61787 | -5.61404 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -1.37545 | -1.38881 | -1.38055 | -1.37908 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | -0.00233774 | -0.00280614 | -0.00252486 | -0.0023384 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -7.11941 | -7.14115 | -7.12607 | -7.12355 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.58103 | -3.597 | -3.58843 | -3.5872 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -1.34973 | -1.36496 | -1.3554 | -1.35431 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | -12.6236 | -12.6359 | -12.6307 | -12.6318 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | -7.69874 | -7.71361 | -7.70577 | -7.70458 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | -4.39381 | -4.41099 | -4.40228 | -4.40196 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | -0.115897 | -0.122047 | -0.118577 | -0.118793 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -7.44779 | -7.46059 | -7.45393 | -7.4539 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | -0.0818208 | -0.0855856 | -0.0837891 | -0.0837164 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -10.1826 | -10.1984 | -10.1886 | -10.1884 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.8204 | -3.8349 | -3.82595 | -3.82383 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | -0.000934654 | -0.000935379 | -0.000935143 | -0.000935226 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | -4.86441 | -4.87333 | -4.86864 | -4.87019 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | -1.14589 | -1.15407 | -1.15004 | -1.1497 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 0.00654766 | -0.00280568 | 0.000281158 | -0.00186931 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.00514449 | 0.00374152 | 0.00430168 | 0.00420793 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | -6.50332 | -6.51679 | -6.50747 | -6.50592 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | -2.8898 | -2.89687 | -2.89287 | -2.89088 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | -1.11457 | -1.11965 | -1.11694 | -1.11589 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 0.067815 | 0.0570408 | 0.0611589 | 0.0598178 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0 | -0.000467681 | -0.000374034 | -0.000467548 |
| LR_8[cache_size=0.1,treshold=0.3] | -8.14691 | -8.16539 | -8.15183 | -8.14887 |
| LR_8[cache_size=0.1,treshold=0.5] | -5.06255 | -5.07022 | -5.06567 | -5.06472 |
| LR_8[cache_size=0.1,treshold=0.6] | -3.2111 | -3.21998 | -3.21493 | -3.21486 |
| LR_8[cache_size=0.1,treshold=0.7] | -1.21458 | -1.22254 | -1.21887 | -1.21796 |
| LR_8[cache_size=0.1,treshold=0.8] | 0.106633 | 0.100055 | 0.104268 | 0.104761 |
| LR_8[cache_size=0.1,treshold=0.9] | 0 | -0.000467681 | -0.000280511 | -0.000467327 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | -8.56267 | -8.5793 | -8.56825 | -8.56745 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | -5.7686 | -5.79093 | -5.77479 | -5.77165 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89719 | -3.91597 | -3.90385 | -3.9027 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48489 | -1.4987 | -1.49062 | -1.4889 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -5.61057 | -5.63519 | -5.61713 | -5.61323 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -1.37592 | -1.38975 | -1.38121 | -1.38002 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | -0.00233774 | -0.00280614 | -0.00252486 | -0.0023384 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -7.12596 | -7.14817 | -7.13252 | -7.12916 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.55952 | -3.57783 | -3.56832 | -3.56711 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -1.3563 | -1.37104 | -1.36157 | -1.36039 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | -12.684 | -12.694 | -12.6889 | -12.6879 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | -7.73332 | -7.74634 | -7.73943 | -7.73918 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | -4.37745 | -4.39603 | -4.38713 | -4.38747 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | -0.0294416 | -0.0327383 | -0.0311406 | -0.0308625 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -7.47302 | -7.48631 | -7.47862 | -7.47588 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | -0.0168238 | -0.0196426 | -0.0186096 | -0.0187045 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -10.1695 | -10.1863 | -10.1762 | -10.1767 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.826 | -3.84144 | -3.83175 | -3.82944 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | -0.000934654 | -0.000935379 | -0.000935143 | -0.000935226 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | -8.15076 | -8.1696 | -8.15595 | -8.15308 |
| LR_9[cache_size=0.1,treshold=0.5] | -5.06676 | -5.07443 | -5.07025 | -5.06939 |
| LR_9[cache_size=0.1,treshold=0.6] | -3.2111 | -3.22045 | -3.21558 | -3.21626 |
| LR_9[cache_size=0.1,treshold=0.7] | -1.20897 | -1.21693 | -1.21354 | -1.21329 |
| LR_9[cache_size=0.1,treshold=0.8] | 0.10842 | 0.101458 | 0.105765 | 0.106164 |
| LR_9[cache_size=0.1,treshold=0.9] | 0 | -0.000467681 | -0.000280511 | -0.000467327 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | -8.56547 | -8.58211 | -8.57124 | -8.57072 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | -5.7672 | -5.78953 | -5.77339 | -5.76988 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89251 | -3.91129 | -3.89973 | -3.89802 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48769 | -1.50197 | -1.49342 | -1.49171 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -5.60964 | -5.63473 | -5.61638 | -5.61264 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -1.37872 | -1.39255 | -1.38401 | -1.38282 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | -0.00280529 | -0.00327383 | -0.00299243 | -0.00280609 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -7.12876 | -7.15051 | -7.13524 | -7.13244 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.55204 | -3.57034 | -3.56093 | -3.5601 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -1.3563 | -1.37198 | -1.36241 | -1.36226 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | -0.000467327 | -0.000935226 | -0.000561094 | -0.000467681 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | -12.7139 | -12.723 | -12.7181 | -12.7174 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | -7.74314 | -7.75757 | -7.75056 | -7.75181 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | -4.36483 | -4.38434 | -4.37488 | -4.37484 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | -0.00280396 | -0.00327383 | -0.0029925 | -0.00280568 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -7.48938 | -7.50595 | -7.4963 | -7.49365 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | -0.00233663 | -0.00280614 | -0.00271196 | -0.00280568 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -10.1947 | -10.2111 | -10.2013 | -10.2015 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.81292 | -3.82741 | -3.81847 | -3.81635 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | -0.000934654 | -0.000935379 | -0.000935143 | -0.000935226 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | -9.71045 | -9.73169 | -9.71782 | -9.71514 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | -6.84073 | -6.85867 | -6.84646 | -6.84264 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | -4.97236 | -4.98943 | -4.98057 | -4.98172 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | -2.5194 | -2.52786 | -2.52376 | -2.52335 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -6.69633 | -6.71462 | -6.70264 | -6.7014 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -2.25142 | -2.25988 | -2.25491 | -2.25358 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -8.33941 | -8.35855 | -8.34428 | -8.34062 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -4.60597 | -4.61768 | -4.61241 | -4.61329 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -2.26545 | -2.27531 | -2.26931 | -2.26807 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | -16.8055 | -16.8289 | -16.814 | -16.8116 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | -16.0676 | -16.0885 | -16.0751 | -16.0733 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -15.7438 | -15.7677 | -15.7529 | -15.7511 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -16.5817 | -16.602 | -16.5901 | -16.5877 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | -9.1235 | -9.12733 | -9.12527 | -9.12554 |
| LR_7[cache_size=0.2,treshold=0.5] | -5.35066 | -5.36681 | -5.35865 | -5.35646 |
| LR_7[cache_size=0.2,treshold=0.6] | -3.21367 | -3.23579 | -3.22569 | -3.22357 |
| LR_7[cache_size=0.2,treshold=0.7] | -1.10015 | -1.11492 | -1.10608 | -1.10351 |
| LR_7[cache_size=0.2,treshold=0.8] | -0.00981444 | -0.0124422 | -0.0117823 | -0.0124353 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5516 | -12.561 | -12.555 | -12.5537 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46559 | -9.4814 | -9.47742 | -9.48085 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39834 | -7.41252 | -7.40403 | -7.40246 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | -0.000654515 | -0.00130971 | -0.00104729 | -0.00130859 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.264 | -9.27796 | -9.27451 | -9.27672 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | -0.000654489 | -0.000130898 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -10.8357 | -10.8447 | -10.8422 | -10.8437 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -6.89635 | -6.90871 | -6.90145 | -6.9012 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | -0.000654853 | -0.000261868 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5905 | -14.6003 | -14.597 | -14.598 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80982 | -8.81762 | -8.81409 | -8.81335 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09984 | -5.11987 | -5.11214 | -5.11221 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | -0.433144 | -0.438097 | -0.435678 | -0.436007 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | -8.50542 | -8.51305 | -8.50762 | -8.50654 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.481049 | -0.485106 | -0.482151 | -0.481562 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -11.5365 | -11.5503 | -11.5428 | -11.5432 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.50278 | -4.52242 | -4.51413 | -4.51419 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | -0.33042 | -0.33463 | -0.332126 | -0.330606 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | -5.11241 | -5.13119 | -5.12183 | -5.1203 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | -0.967218 | -0.98537 | -0.975429 | -0.974141 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 0.0307622 | 0.0189746 | 0.0244808 | 0.0242296 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | -7.0946 | -7.10709 | -7.09966 | -7.09861 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | -2.83405 | -2.85208 | -2.84368 | -2.8419 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | -0.95936 | -0.979481 | -0.969407 | -0.968903 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 0.0235625 | 0.0117773 | 0.0166259 | 0.0144068 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.3] | -9.11762 | -9.12144 | -9.11951 | -9.11965 |
| LR_8[cache_size=0.2,treshold=0.5] | -5.35066 | -5.36615 | -5.35839 | -5.35581 |
| LR_8[cache_size=0.2,treshold=0.6] | -3.2189 | -3.24168 | -3.23092 | -3.22881 |
| LR_8[cache_size=0.2,treshold=0.7] | -1.10932 | -1.12212 | -1.1142 | -1.11202 |
| LR_8[cache_size=0.2,treshold=0.8] | -0.011123 | -0.0130933 | -0.012175 | -0.0124358 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5581 | -12.5669 | -12.5619 | -12.5608 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46755 | -9.48282 | -9.47873 | -9.48223 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | -7.40554 | -7.41906 | -7.41083 | -7.41032 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.264 | -9.27796 | -9.27398 | -9.27607 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -10.8357 | -10.845 | -10.8426 | -10.8444 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -6.90289 | -6.9146 | -6.90761 | -6.90644 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5794 | -14.5879 | -14.5855 | -14.5869 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80851 | -8.81599 | -8.81278 | -8.81204 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | -5.10573 | -5.1251 | -5.11803 | -5.1181 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | -0.452924 | -0.456301 | -0.454398 | -0.454215 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | -8.50016 | -8.50781 | -8.50238 | -8.5013 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.48852 | -0.491653 | -0.489482 | -0.488922 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -11.5679 | -11.5824 | -11.5741 | -11.5738 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.49885 | -4.51718 | -4.50903 | -4.5083 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | -0.29705 | -0.305816 | -0.300576 | -0.299182 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | -9.12612 | -9.12995 | -9.12815 | -9.12816 |
| LR_9[cache_size=0.2,treshold=0.5] | -5.35393 | -5.37008 | -5.36205 | -5.35997 |
| LR_9[cache_size=0.2,treshold=0.6] | -3.21628 | -3.23907 | -3.22844 | -3.22619 |
| LR_9[cache_size=0.2,treshold=0.7] | -1.10146 | -1.11623 | -1.10778 | -1.10548 |
| LR_9[cache_size=0.2,treshold=0.8] | -0.0104687 | -0.0130971 | -0.0124369 | -0.0130898 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5444 | -12.5532 | -12.5478 | -12.5459 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46297 | -9.47879 | -9.47467 | -9.47765 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39376 | -7.40729 | -7.39866 | -7.3964 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | -0.00196289 | -0.00196456 | -0.00196369 | -0.00196354 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | -0.000654853 | -0.000523631 | -0.000654489 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.25942 | -9.27403 | -9.26993 | -9.27214 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.000654296 | -0.000654853 | -0.000654563 | -0.000654515 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -9.37672 | -9.39771 | -9.38605 | -9.38602 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.45827 | -4.47068 | -4.467 | -4.46885 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | -1.58452 | -1.59714 | -1.58928 | -1.58851 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | -14.6003 | -14.6101 | -14.6065 | -14.6078 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | -8.81113 | -8.8186 | -8.81566 | -8.81531 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09133 | -5.11113 | -5.10402 | -5.10436 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | -0.412439 | -0.416487 | -0.414208 | -0.414308 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | -8.50802 | -8.51501 | -8.50998 | -8.50916 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.467305 | -0.471358 | -0.468406 | -0.467822 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -11.581 | -11.5948 | -11.5862 | -11.5851 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.49493 | -4.51325 | -4.50497 | -4.50437 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | -0.278232 | -0.286171 | -0.281594 | -0.280132 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | -12.64 | -12.6507 | -12.6458 | -12.6465 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | -9.36021 | -9.3813 | -9.37374 | -9.37553 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | -6.96432 | -6.97283 | -6.96822 | -6.966 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.14946 | -9.17258 | -9.1631 | -9.16546 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -10.9188 | -10.9295 | -10.9264 | -10.9281 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -6.40917 | -6.42542 | -6.4176 | -6.41948 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | -20.7329 | -20.747 | -20.7376 | -20.7363 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | -20.1903 | -20.2075 | -20.1983 | -20.197 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -20.6044 | -20.6219 | -20.6106 | -20.6094 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | -9.49325 | -9.54149 | -9.51692 | -9.51555 |
| LR_7[cache_size=0.4,treshold=0.5] | -5.12316 | -5.18121 | -5.15563 | -5.15518 |
| LR_7[cache_size=0.4,treshold=0.6] | -2.91977 | -2.98173 | -2.9458 | -2.94612 |
| LR_7[cache_size=0.4,treshold=0.7] | -1.04431 | -1.06864 | -1.05688 | -1.0552 |
| LR_7[cache_size=0.4,treshold=0.8] | -0.134606 | -0.159964 | -0.150485 | -0.157828 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3829 | -16.4379 | -16.4154 | -16.4254 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74211 | -9.80403 | -9.7766 | -9.78019 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77502 | -5.81742 | -5.79959 | -5.80283 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00687 | -1.03073 | -1.02295 | -1.02382 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49455 | -8.54186 | -8.52094 | -8.52503 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.412807 | -0.428867 | -0.420886 | -0.422638 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9291 | -12.0086 | -11.9638 | -11.9617 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26471 | -4.32751 | -4.30519 | -4.31946 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.121401 | -0.132039 | -0.127654 | -0.128589 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3261 | -16.3777 | -16.3581 | -16.3686 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64996 | -9.71384 | -9.68346 | -9.68488 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | -5.75028 | -5.79121 | -5.77332 | -5.77653 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07807 | -1.10914 | -1.09927 | -1.10456 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49667 | -8.54432 | -8.52293 | -8.52615 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.418493 | -0.433106 | -0.426058 | -0.427763 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9158 | -11.9986 | -11.9522 | -11.9516 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26327 | -4.32606 | -4.30436 | -4.31946 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.128981 | -0.140062 | -0.135078 | -0.134829 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | -4.41124 | -4.45493 | -4.43714 | -4.44242 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | -0.670021 | -0.715545 | -0.694368 | -0.699754 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | -0.123575 | -0.15138 | -0.141567 | -0.146451 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.000111539 | -0.000334419 | -0.000133728 | -0.000111479 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | -6.61887 | -6.67648 | -6.64697 | -6.64378 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | -2.10534 | -2.15166 | -2.13143 | -2.13337 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | -0.668127 | -0.711532 | -0.692896 | -0.701873 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | -0.110649 | -0.13697 | -0.125092 | -0.127636 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.3] | -9.49247 | -9.54104 | -9.51637 | -9.51499 |
| LR_8[cache_size=0.4,treshold=0.5] | -5.12417 | -5.18121 | -5.15596 | -5.15551 |
| LR_8[cache_size=0.4,treshold=0.6] | -2.91977 | -2.98195 | -2.94584 | -2.94589 |
| LR_8[cache_size=0.4,treshold=0.7] | -1.0442 | -1.06819 | -1.05682 | -1.05498 |
| LR_8[cache_size=0.4,treshold=0.8] | -0.134829 | -0.159852 | -0.150596 | -0.158051 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3796 | -16.4357 | -16.4132 | -16.4232 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74055 | -9.80214 | -9.77468 | -9.77829 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77569 | -5.81787 | -5.79999 | -5.80294 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00798 | -1.03218 | -1.02445 | -1.02628 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.495 | -8.54231 | -8.5213 | -8.52537 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.415483 | -0.431433 | -0.423829 | -0.425535 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9269 | -12.0075 | -11.9622 | -11.9594 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26226 | -4.3245 | -4.30311 | -4.31789 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.119952 | -0.130257 | -0.126027 | -0.126583 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3228 | -16.3755 | -16.355 | -16.3652 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | -9.6484 | -9.71061 | -9.67989 | -9.68164 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | -5.74683 | -5.78697 | -5.7694 | -5.77251 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07507 | -1.1058 | -1.09581 | -1.10111 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.495 | -8.54231 | -8.5213 | -8.52537 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.415483 | -0.431433 | -0.423829 | -0.425535 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9146 | -11.9964 | -11.9502 | -11.9494 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26483 | -4.3274 | -4.3053 | -4.31957 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.132883 | -0.143293 | -0.138377 | -0.138172 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | -9.4938 | -9.54238 | -9.51777 | -9.51655 |
| LR_9[cache_size=0.4,treshold=0.5] | -5.12361 | -5.18166 | -5.15587 | -5.15506 |
| LR_9[cache_size=0.4,treshold=0.6] | -2.91966 | -2.98184 | -2.94555 | -2.94567 |
| LR_9[cache_size=0.4,treshold=0.7] | -1.04398 | -1.06864 | -1.05666 | -1.05476 |
| LR_9[cache_size=0.4,treshold=0.8] | -0.13416 | -0.159964 | -0.150239 | -0.157605 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3874 | -16.4424 | -16.4201 | -16.4288 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74389 | -9.80537 | -9.77845 | -9.78152 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77413 | -5.8162 | -5.79831 | -5.8015 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00186 | -1.02493 | -1.0172 | -1.01836 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49522 | -8.54287 | -8.5217 | -8.52548 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.409797 | -0.42619 | -0.418322 | -0.421301 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.928 | -12.0086 | -11.9636 | -11.9617 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.25937 | -4.32126 | -4.3001 | -4.31555 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.114823 | -0.124924 | -0.120253 | -0.121457 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3294 | -16.3822 | -16.3617 | -16.3719 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64962 | -9.7134 | -9.6827 | -9.68432 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | -5.74594 | -5.78608 | -5.76842 | -5.7714 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | -1.06771 | -1.09877 | -1.08885 | -1.09428 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49767 | -8.54532 | -8.52373 | -8.52693 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.41002 | -0.426859 | -0.418634 | -0.421301 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.918 | -12.0008 | -11.954 | -11.9527 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26215 | -4.32439 | -4.30289 | -4.31778 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.125637 | -0.136496 | -0.131868 | -0.132489 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | -18.2884 | -18.3529 | -18.3273 | -18.3383 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | -14.8664 | -14.9185 | -14.8992 | -14.9085 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | -8.84845 | -8.89001 | -8.87027 | -8.87001 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -13.9181 | -13.9629 | -13.9473 | -13.9515 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -16.2046 | -16.2607 | -16.2395 | -16.2559 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | -26.3892 | -26.4608 | -26.4262 | -26.4192 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | -25.9725 | -26.0439 | -26.0089 | -26.0035 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -26.2633 | -26.3382 | -26.3014 | -26.2943 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 7.80369 | 0.100977 | 2.73498 | 1.84941 |
| Zipf Optimal Distribution | 3.35401 | 0.0684004 | 1.23463 | 0.902408 |
Model Summaries Plot
Miss Ratio Reduced (%)
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.6567 | 2.73498 |
| Zipf Optimal Distribution | 12.1282 | 1.23463 |
| LR_9[cache_size=0.1,treshold=0.8] | 5.10997 | 0.105765 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18877 | 0.104549 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.2224 | 0.104268 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.39412 | 0.0833573 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71479 | 0.0754115 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45957 | 0.0745725 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.50028 | 0.0738815 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48513 | 0.0737828 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.87683 | 0.0684527 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97332 | 0.0661331 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42725 | 0.0618887 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78646 | 0.0611589 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.25761 | 0.0531039 |
| LR_8[cache_size=0.01,treshold=0.9] | 1.35946 | 0.0346951 |
| LR_9[cache_size=0.01,treshold=0.9] | 1.34921 | 0.0346458 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34513 | 0.0341523 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27208 | 0.0323756 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4257 | 0.0244808 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98099 | 0.0232454 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 0.696044 | 0.0179151 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.01782 | 0.0166259 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 0.428901 | 0.0106603 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667291 | 0.00430168 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1922 | 0.000281158 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.0001986 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000897685 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 7.79792e-05 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00100663 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000145953 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000315886 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 3.11469e-05 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 8.99711e-05 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 2.99851e-05 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 3.99885e-06 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000233716 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000226053 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 1.75254e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000711758 | -0.000130898 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00168828 | -0.000133728 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.00106129 | -0.000148054 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00113026 | -0.000197407 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00206727 | -0.000261868 |
| LR_8[cache_size=0.1,treshold=0.9] | 0.000551015 | -0.000280511 |
| LR_9[cache_size=0.1,treshold=0.9] | 0.000529597 | -0.000280511 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000531545 | -0.000280511 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0.000720407 | -0.000374034 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.00092874 | -0.000467572 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00442746 | -0.000467572 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 0.00073988 | -0.000467572 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00154402 | -0.000467572 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00298893 | -0.000523631 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.0089115 | -0.000561094 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00359077 | -0.000654563 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00880064 | -0.000935143 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00935943 | -0.000935143 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00990655 | -0.000935143 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0124336 | -0.00196369 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0269041 | -0.00252486 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0265186 | -0.00252486 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0264548 | -0.00271196 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0362304 | -0.00299243 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0300374 | -0.0029925 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3862 | -0.00458954 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.65984 | -0.0117823 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79185 | -0.012175 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.6636 | -0.0124369 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3942 | -0.0130289 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3308 | -0.0158914 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193878 | -0.0186096 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7919 | -0.0307961 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.325305 | -0.0311406 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7434 | -0.0341521 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7185 | -0.0357807 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.904352 | -0.0837891 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2225 | -0.0982123 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2199 | -0.100187 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2268 | -0.100828 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.09055 | -0.120253 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02358 | -0.125092 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.15034 | -0.126027 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16519 | -0.127654 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.20582 | -0.131868 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.23588 | -0.135078 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.2663 | -0.138377 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.54661 | -0.141567 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.82601 | -0.150239 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.83317 | -0.150485 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.83671 | -0.150596 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.67296 | -0.281594 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85476 | -0.300576 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.18307 | -0.332126 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95124 | -0.414208 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88232 | -0.418322 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88473 | -0.418634 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90405 | -0.420886 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.94366 | -0.426058 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30283 | -0.454398 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42373 | -0.468406 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54327 | -0.482151 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61148 | -0.489482 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4114 | -0.692896 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 23.7677 | -0.694368 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.935 | -0.763343 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 25.516 | -0.796607 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7411 | -0.809192 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7523 | -0.810574 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7655 | -0.811759 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1891 | -0.835497 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2091 | -0.837077 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2134 | -0.837669 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7917 | -0.969407 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 29.1976 | -0.975429 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6731 | -0.998066 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3307 | -1.00483 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3519 | -1.00769 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7362 | -1.0144 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05942 | -1.0172 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.11483 | -1.02445 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9149 | -1.05666 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9221 | -1.05682 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60868 | -1.08885 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.66265 | -1.09581 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8537 | -1.10778 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9089 | -1.1142 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4509 | -1.11694 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 29.9186 | -1.15004 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.409 | -1.21354 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4185 | -1.21887 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3194 | -1.3554 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.212 | -1.36157 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1652 | -1.36241 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.538 | -1.38055 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.526 | -1.38121 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5112 | -1.38401 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7749 | -1.49062 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7683 | -1.49342 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.685 | -1.58928 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0355 | -1.69542 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1313 | -1.76111 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.139 | -1.7621 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1456 | -1.76279 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7302 | -1.83272 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6791 | -1.91144 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 41.5571 | -2.01676 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.337 | -2.0901 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3326 | -2.09025 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.053 | -2.11374 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 40.9505 | -2.13143 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9158 | -2.25491 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.0878 | -2.26931 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3289 | -2.45566 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5781 | -2.47012 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2247 | -2.74403 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.232 | -2.74502 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2332 | -2.74516 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.4818 | -2.74842 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 45.2752 | -2.84368 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6326 | -2.85122 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 45.5614 | -2.89287 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.0854 | -2.94555 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0807 | -2.94584 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.463 | -3.02129 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.476 | -3.02258 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8003 | -3.21493 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8393 | -3.21558 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7314 | -3.22844 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.7239 | -3.23092 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4171 | -3.38429 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.8748 | -3.56093 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9306 | -3.56832 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8274 | -3.58441 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8384 | -3.58579 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8435 | -3.58639 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.041 | -3.58843 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1344 | -3.7035 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3231 | -3.72275 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4015 | -3.81847 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4566 | -3.82595 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.5007 | -3.83175 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8645 | -3.89973 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8949 | -3.90385 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4817 | -4.23168 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7589 | -4.3001 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7763 | -4.30289 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7772 | -4.30311 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7837 | -4.30436 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7894 | -4.30519 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7899 | -4.3053 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5403 | -4.37488 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.629 | -4.38713 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7177 | -4.43714 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8889 | -4.467 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4842 | -4.47287 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8401 | -4.50497 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8637 | -4.50903 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8926 | -4.51413 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7806 | -4.58258 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7931 | -4.58455 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4708 | -4.61241 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.189 | -4.86864 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.554 | -4.9206 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.94202 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2256 | -4.99334 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2057 | -5.06567 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.249 | -5.07025 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.622 | -5.10402 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7078 | -5.11803 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1917 | -5.12183 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.517 | -5.15587 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5097 | -5.15596 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3604 | -5.35839 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3893 | -5.36205 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8961 | -5.41131 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6383 | -5.60354 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1829 | -5.61638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1882 | -5.61713 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1959 | -5.61787 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8854 | -5.65912 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8569 | -5.66163 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4944 | -5.70205 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0488 | -5.76842 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0557 | -5.7694 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9144 | -5.77339 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9235 | -5.77479 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2153 | -5.79831 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2248 | -5.79999 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9242 | -5.92128 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.879 | -6.4176 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4598 | -6.50747 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3203 | -6.64697 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1787 | -6.70264 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1503 | -6.89457 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6668 | -6.90145 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.2995 | -6.90691 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7165 | -6.90761 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4157 | -7.05428 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7151 | -7.09966 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1886 | -7.12199 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0453 | -7.12607 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0844 | -7.13252 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0929 | -7.13524 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4292 | -7.39866 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.52 | -7.41083 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.524 | -7.45393 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.668 | -7.47862 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7694 | -7.4963 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1657 | -7.73943 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2296 | -7.75056 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4681 | -8.15183 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.7029 | -8.15401 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4809 | -8.15595 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4722 | -8.34428 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3211 | -8.50238 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3465 | -8.50762 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.359 | -8.50998 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4431 | -8.52094 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4459 | -8.5217 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.451 | -8.52293 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4539 | -8.52373 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0477 | -8.53082 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7827 | -8.56825 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7945 | -8.57124 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6239 | -8.62434 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7899 | -8.81278 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8038 | -8.81566 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.8336 | -9.11951 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8635 | -9.12815 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5076 | -9.1631 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7632 | -9.26993 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8041 | -9.27398 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27451 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5391 | -9.37374 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6778 | -9.38605 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.851 | -9.47467 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8963 | -9.47873 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2199 | -9.51637 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2265 | -9.51777 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2485 | -9.67989 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2623 | -9.6827 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6426 | -9.77468 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6559 | -9.77845 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8436 | -10.1762 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.902 | -10.1886 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9631 | -10.2013 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1232 | -10.8422 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1355 | -10.8426 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6152 | -10.9264 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6098 | -11.5428 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.734 | -11.5741 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7799 | -11.5862 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5003 | -11.9502 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5073 | -11.9522 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5136 | -11.954 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5412 | -11.9622 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5444 | -11.9636 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5453 | -11.9638 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1692 | -12.5478 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3634 | -12.5619 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8475 | -12.6889 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9649 | -12.7181 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.5913 | -13.9473 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5397 | -14.5855 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6088 | -14.6065 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4485 | -14.8992 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8854 | -15.7529 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0526 | -16.2395 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4157 | -16.355 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4333 | -16.3617 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6099 | -16.4132 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6267 | -16.4201 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.4629 | -16.5901 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7164 | -20.6106 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.3014 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.39412 | 0.0833573 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71479 | 0.0754115 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45957 | 0.0745725 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.50028 | 0.0738815 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48513 | 0.0737828 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.87683 | 0.0684527 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97332 | 0.0661331 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42725 | 0.0618887 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.25761 | 0.0531039 |
| LR_8[cache_size=0.01,treshold=0.9] | 1.35946 | 0.0346951 |
| LR_9[cache_size=0.01,treshold=0.9] | 1.34921 | 0.0346458 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34513 | 0.0341523 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27208 | 0.0323756 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98099 | 0.0232454 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 0.696044 | 0.0179151 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 0.428901 | 0.0106603 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000233716 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000226053 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.00106129 | -0.000148054 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00113026 | -0.000197407 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3862 | -0.00458954 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3942 | -0.0130289 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3308 | -0.0158914 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7919 | -0.0307961 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7434 | -0.0341521 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7185 | -0.0357807 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2225 | -0.0982123 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2199 | -0.100187 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2268 | -0.100828 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.935 | -0.763343 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 25.516 | -0.796607 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7411 | -0.809192 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7523 | -0.810574 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7655 | -0.811759 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1891 | -0.835497 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2091 | -0.837077 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2134 | -0.837669 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6731 | -0.998066 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3307 | -1.00483 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3519 | -1.00769 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7362 | -1.0144 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0355 | -1.69542 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1313 | -1.76111 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.139 | -1.7621 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1456 | -1.76279 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7302 | -1.83272 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6791 | -1.91144 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 41.5571 | -2.01676 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.337 | -2.0901 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3326 | -2.09025 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.053 | -2.11374 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3289 | -2.45566 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5781 | -2.47012 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2247 | -2.74403 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.232 | -2.74502 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2332 | -2.74516 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.4818 | -2.74842 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6326 | -2.85122 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.463 | -3.02129 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.476 | -3.02258 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4171 | -3.38429 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8274 | -3.58441 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8384 | -3.58579 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8435 | -3.58639 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1344 | -3.7035 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3231 | -3.72275 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4817 | -4.23168 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4842 | -4.47287 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7806 | -4.58258 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7931 | -4.58455 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.554 | -4.9206 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.94202 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2256 | -4.99334 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8961 | -5.41131 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6383 | -5.60354 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8854 | -5.65912 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8569 | -5.66163 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4944 | -5.70205 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9242 | -5.92128 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1503 | -6.89457 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.2995 | -6.90691 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4157 | -7.05428 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1886 | -7.12199 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.7029 | -8.15401 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0477 | -8.53082 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6239 | -8.62434 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| LR_9[cache_size=0.1,treshold=0.8] | 5.10997 | 0.105765 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18877 | 0.104549 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.2224 | 0.104268 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78646 | 0.0611589 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667291 | 0.00430168 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1922 | 0.000281158 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 3.11469e-05 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 1.75254e-05 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00100663 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.0001986 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000531545 | -0.000280511 |
| LR_9[cache_size=0.1,treshold=0.9] | 0.000529597 | -0.000280511 |
| LR_8[cache_size=0.1,treshold=0.9] | 0.000551015 | -0.000280511 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0.000720407 | -0.000374034 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00442746 | -0.000467572 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00154402 | -0.000467572 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 0.00073988 | -0.000467572 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.00092874 | -0.000467572 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.0089115 | -0.000561094 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00935943 | -0.000935143 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00880064 | -0.000935143 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00990655 | -0.000935143 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0265186 | -0.00252486 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0269041 | -0.00252486 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0264548 | -0.00271196 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0362304 | -0.00299243 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0300374 | -0.0029925 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193878 | -0.0186096 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.325305 | -0.0311406 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.904352 | -0.0837891 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4509 | -1.11694 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 29.9186 | -1.15004 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.409 | -1.21354 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4185 | -1.21887 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3194 | -1.3554 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.212 | -1.36157 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1652 | -1.36241 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.538 | -1.38055 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.526 | -1.38121 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5112 | -1.38401 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7749 | -1.49062 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7683 | -1.49342 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9158 | -2.25491 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.0878 | -2.26931 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 45.5614 | -2.89287 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8003 | -3.21493 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8393 | -3.21558 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.8748 | -3.56093 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9306 | -3.56832 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.041 | -3.58843 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4015 | -3.81847 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4566 | -3.82595 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.5007 | -3.83175 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8645 | -3.89973 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8949 | -3.90385 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5403 | -4.37488 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.629 | -4.38713 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4708 | -4.61241 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.189 | -4.86864 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2057 | -5.06567 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.249 | -5.07025 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1829 | -5.61638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1882 | -5.61713 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1959 | -5.61787 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9144 | -5.77339 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9235 | -5.77479 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4598 | -6.50747 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1787 | -6.70264 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0453 | -7.12607 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0844 | -7.13252 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0929 | -7.13524 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.524 | -7.45393 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.668 | -7.47862 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7694 | -7.4963 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1657 | -7.73943 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2296 | -7.75056 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4681 | -8.15183 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4809 | -8.15595 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4722 | -8.34428 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7827 | -8.56825 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7945 | -8.57124 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8436 | -10.1762 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.902 | -10.1886 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9631 | -10.2013 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8475 | -12.6889 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9649 | -12.7181 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8854 | -15.7529 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.4629 | -16.5901 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4257 | 0.0244808 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.01782 | 0.0166259 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000315886 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 3.99885e-06 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 2.99851e-05 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 8.99711e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 7.79792e-05 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000897685 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000145953 | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000711758 | -0.000130898 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00206727 | -0.000261868 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00298893 | -0.000523631 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00359077 | -0.000654563 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0124336 | -0.00196369 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.65984 | -0.0117823 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79185 | -0.012175 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.6636 | -0.0124369 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.67296 | -0.281594 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85476 | -0.300576 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.18307 | -0.332126 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95124 | -0.414208 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30283 | -0.454398 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42373 | -0.468406 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54327 | -0.482151 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61148 | -0.489482 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7917 | -0.969407 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 29.1976 | -0.975429 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8537 | -1.10778 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9089 | -1.1142 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.685 | -1.58928 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 45.2752 | -2.84368 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7314 | -3.22844 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.7239 | -3.23092 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8889 | -4.467 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8401 | -4.50497 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8637 | -4.50903 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8926 | -4.51413 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.622 | -5.10402 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7078 | -5.11803 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1917 | -5.12183 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3604 | -5.35839 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3893 | -5.36205 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.879 | -6.4176 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6668 | -6.90145 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7165 | -6.90761 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7151 | -7.09966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4292 | -7.39866 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.52 | -7.41083 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3211 | -8.50238 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3465 | -8.50762 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.359 | -8.50998 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7899 | -8.81278 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8038 | -8.81566 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.8336 | -9.11951 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8635 | -9.12815 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5076 | -9.1631 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7632 | -9.26993 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8041 | -9.27398 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27451 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5391 | -9.37374 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6778 | -9.38605 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.851 | -9.47467 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8963 | -9.47873 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1232 | -10.8422 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1355 | -10.8426 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6152 | -10.9264 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6098 | -11.5428 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.734 | -11.5741 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7799 | -11.5862 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1692 | -12.5478 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3634 | -12.5619 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5397 | -14.5855 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6088 | -14.6065 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7164 | -20.6106 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00168828 | -0.000133728 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.09055 | -0.120253 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02358 | -0.125092 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.15034 | -0.126027 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16519 | -0.127654 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.20582 | -0.131868 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.23588 | -0.135078 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.2663 | -0.138377 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.54661 | -0.141567 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.82601 | -0.150239 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.83317 | -0.150485 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.83671 | -0.150596 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88232 | -0.418322 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88473 | -0.418634 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90405 | -0.420886 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.94366 | -0.426058 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4114 | -0.692896 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 23.7677 | -0.694368 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05942 | -1.0172 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.11483 | -1.02445 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9149 | -1.05666 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9221 | -1.05682 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60868 | -1.08885 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.66265 | -1.09581 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 40.9505 | -2.13143 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.0854 | -2.94555 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0807 | -2.94584 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7589 | -4.3001 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7763 | -4.30289 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7772 | -4.30311 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7837 | -4.30436 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7894 | -4.30519 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7899 | -4.3053 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7177 | -4.43714 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.517 | -5.15587 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5097 | -5.15596 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0488 | -5.76842 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0557 | -5.7694 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2153 | -5.79831 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2248 | -5.79999 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3203 | -6.64697 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4431 | -8.52094 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4459 | -8.5217 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.451 | -8.52293 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4539 | -8.52373 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2199 | -9.51637 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2265 | -9.51777 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2485 | -9.67989 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2623 | -9.6827 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6426 | -9.77468 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6559 | -9.77845 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5003 | -11.9502 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5073 | -11.9522 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5136 | -11.954 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5412 | -11.9622 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5444 | -11.9636 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5453 | -11.9638 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.5913 | -13.9473 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4485 | -14.8992 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0526 | -16.2395 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4157 | -16.355 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4333 | -16.3617 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6099 | -16.4132 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6267 | -16.4201 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.3014 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_9[cache_size=0.1,treshold=0.8] | 5.11123 | 0.106164 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.22281 | 0.104761 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18922 | 0.104761 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.39562 | 0.0836508 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71621 | 0.0752611 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45973 | 0.0747779 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48392 | 0.0737956 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.49936 | 0.0737956 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.879 | 0.0693389 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97224 | 0.066131 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42859 | 0.0626786 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78731 | 0.0598178 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.2573 | 0.0530529 |
| LR_8[cache_size=0.01,treshold=0.9] | 1.35994 | 0.034785 |
| LR_9[cache_size=0.01,treshold=0.9] | 1.34993 | 0.0345383 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34701 | 0.0340449 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27255 | 0.0320785 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4256 | 0.0242296 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98582 | 0.0236887 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 0.695142 | 0.0177702 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.02019 | 0.0144068 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 0.429108 | 0.0106082 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667113 | 0.00420793 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.000214142 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000899741 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000319889 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000129955 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 6.99798e-05 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00109018 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 2.92038e-05 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00211991 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000679926 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 2.99968e-05 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000220312 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 7.99722e-05 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000220247 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 9.73649e-06 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00139621 | -0.000111479 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.0011401 | -0.000246702 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00116827 | -0.000246758 |
| LR_9[cache_size=0.1,treshold=0.9] | 0.000525669 | -0.000467327 |
| LR_8[cache_size=0.1,treshold=0.9] | 0.000545138 | -0.000467327 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000525669 | -0.000467327 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0.0007205 | -0.000467548 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00438992 | -0.000467613 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 0.000749874 | -0.000467613 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.000925169 | -0.000467613 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00148926 | -0.000467613 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00941253 | -0.000467681 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00311966 | -0.000654489 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00361985 | -0.000654515 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00978241 | -0.000935226 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00924195 | -0.000935226 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.0087258 | -0.000935226 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1894 | -0.00186931 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0125295 | -0.00196354 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0264781 | -0.0023384 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0260401 | -0.0023384 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0265709 | -0.00280568 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0296905 | -0.00280568 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0360764 | -0.00280609 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3844 | -0.00444255 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.66176 | -0.0124353 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79728 | -0.0124358 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3936 | -0.012834 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.66471 | -0.0130898 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193242 | -0.0187045 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.322731 | -0.0308625 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7907 | -0.0310978 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7432 | -0.0345531 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7203 | -0.0362808 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.900935 | -0.0837164 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2228 | -0.0984765 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2198 | -0.100434 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2266 | -0.101174 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.08333 | -0.121457 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.14557 | -0.126583 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02036 | -0.127636 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16108 | -0.128589 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.19918 | -0.132489 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.232 | -0.134829 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.26079 | -0.138172 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.55269 | -0.146451 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.83324 | -0.157605 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.84329 | -0.157828 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.84693 | -0.158051 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.6757 | -0.280132 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85546 | -0.299182 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.17679 | -0.330606 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95278 | -0.414308 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.87906 | -0.421301 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88183 | -0.421301 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90182 | -0.422638 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9441 | -0.427763 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30227 | -0.454215 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42291 | -0.467822 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54304 | -0.481562 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61077 | -0.488922 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 23.7731 | -0.699754 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4125 | -0.701873 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.937 | -0.762754 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 25.5143 | -0.797055 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7398 | -0.810874 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7508 | -0.812107 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7628 | -0.813588 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1862 | -0.837031 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2059 | -0.838541 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.209 | -0.838788 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7981 | -0.968903 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 29.2006 | -0.974141 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6736 | -0.998416 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3352 | -1.00631 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3568 | -1.00952 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7385 | -1.01446 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05079 | -1.01836 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10767 | -1.02628 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9077 | -1.05476 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9133 | -1.05498 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60011 | -1.09428 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65421 | -1.10111 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8565 | -1.10548 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9112 | -1.11202 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4519 | -1.11589 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 29.9179 | -1.1497 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.4056 | -1.21329 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4119 | -1.21796 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3142 | -1.35431 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2081 | -1.36039 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1618 | -1.36226 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5346 | -1.37908 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5238 | -1.38002 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5068 | -1.38282 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7767 | -1.4889 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7692 | -1.49171 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.6868 | -1.58851 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0339 | -1.69454 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1346 | -1.75994 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1424 | -1.76092 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1473 | -1.76166 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7213 | -1.83169 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6759 | -1.90972 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 41.5667 | -2.01481 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.343 | -2.08937 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.339 | -2.08986 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.0563 | -2.11292 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 40.954 | -2.13337 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9197 | -2.25358 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.085 | -2.26807 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3244 | -2.45458 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5806 | -2.46815 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2296 | -2.7421 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2363 | -2.74309 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2382 | -2.74334 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.484 | -2.74799 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 45.2721 | -2.8419 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6337 | -2.8504 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 45.562 | -2.89088 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.09 | -2.94567 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0844 | -2.94589 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4691 | -3.01974 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4804 | -3.02112 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8032 | -3.21486 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8454 | -3.21626 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7346 | -3.22619 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.728 | -3.22881 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4175 | -3.38525 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.8849 | -3.5601 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.948 | -3.56711 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8313 | -3.58181 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8414 | -3.58267 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8458 | -3.58329 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.054 | -3.5872 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1308 | -3.70497 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3185 | -3.72372 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.397 | -3.81635 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4537 | -3.82383 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4972 | -3.82944 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8731 | -3.89802 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9047 | -3.9027 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4827 | -4.23204 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7553 | -4.31555 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7715 | -4.31778 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7728 | -4.31789 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7803 | -4.31946 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7867 | -4.31946 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7871 | -4.31957 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5437 | -4.37484 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6328 | -4.38747 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7096 | -4.44242 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8873 | -4.46885 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4867 | -4.47239 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8388 | -4.50437 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8626 | -4.5083 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8913 | -4.51419 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7732 | -4.57924 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7856 | -4.58121 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4691 | -4.61329 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.1923 | -4.87019 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.5526 | -4.91801 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.93997 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2289 | -4.99062 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2066 | -5.06472 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.2495 | -5.06939 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6175 | -5.10436 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7041 | -5.1181 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1928 | -5.1203 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.5096 | -5.15506 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5021 | -5.15551 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3574 | -5.35581 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3861 | -5.35997 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8992 | -5.40919 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6434 | -5.60267 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1871 | -5.61264 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1913 | -5.61323 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1987 | -5.61404 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8871 | -5.65639 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8571 | -5.65865 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4977 | -5.70079 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9207 | -5.76988 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0456 | -5.7714 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9312 | -5.77165 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0527 | -5.77251 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2133 | -5.8015 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2225 | -5.80294 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9266 | -5.91937 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.8794 | -6.41948 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4702 | -6.50592 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3204 | -6.64378 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1887 | -6.7014 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1536 | -6.89317 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6674 | -6.9012 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.305 | -6.90569 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7159 | -6.90644 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4193 | -7.05223 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7107 | -7.09861 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1883 | -7.11933 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0476 | -7.12355 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.087 | -7.12916 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0941 | -7.13244 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4299 | -7.3964 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5185 | -7.41032 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.5267 | -7.4539 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.6733 | -7.47588 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7759 | -7.49365 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1682 | -7.73918 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2324 | -7.75181 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4754 | -8.14887 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4873 | -8.15308 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.6977 | -8.15315 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4755 | -8.34062 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3199 | -8.5013 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3439 | -8.50654 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3555 | -8.50916 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4419 | -8.52503 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.445 | -8.52548 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4495 | -8.52615 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4519 | -8.52693 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0474 | -8.52986 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7877 | -8.56745 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8 | -8.57072 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6227 | -8.62364 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7881 | -8.81204 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.803 | -8.81531 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.836 | -9.11965 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8653 | -9.12816 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5048 | -9.16546 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7604 | -9.27214 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27607 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7992 | -9.27672 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5437 | -9.37553 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6811 | -9.38602 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8496 | -9.47765 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.895 | -9.48223 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2175 | -9.51499 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2239 | -9.51655 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2557 | -9.68164 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2698 | -9.68432 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6394 | -9.77829 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6513 | -9.78152 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8426 | -10.1767 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9004 | -10.1884 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9625 | -10.2015 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1218 | -10.8437 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1327 | -10.8444 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6135 | -10.9281 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6096 | -11.5432 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7357 | -11.5738 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7831 | -11.5851 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.4942 | -11.9494 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5015 | -11.9516 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5077 | -11.9527 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5369 | -11.9594 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5399 | -11.9617 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5409 | -11.9617 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1711 | -12.5459 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3625 | -12.5608 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8441 | -12.6879 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9617 | -12.7174 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.598 | -13.9515 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5381 | -14.5869 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6057 | -14.6078 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4519 | -14.9085 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8888 | -15.7511 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0465 | -16.2559 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4101 | -16.3652 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4278 | -16.3719 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6074 | -16.4232 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6239 | -16.4288 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.464 | -16.5877 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7165 | -20.6094 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.2943 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.39562 | 0.0836508 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71621 | 0.0752611 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45973 | 0.0747779 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.49936 | 0.0737956 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48392 | 0.0737956 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.879 | 0.0693389 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97224 | 0.066131 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42859 | 0.0626786 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.2573 | 0.0530529 |
| LR_8[cache_size=0.01,treshold=0.9] | 1.35994 | 0.034785 |
| LR_9[cache_size=0.01,treshold=0.9] | 1.34993 | 0.0345383 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34701 | 0.0340449 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27255 | 0.0320785 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98582 | 0.0236887 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 0.695142 | 0.0177702 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 0.429108 | 0.0106082 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000220312 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000220247 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.0011401 | -0.000246702 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00116827 | -0.000246758 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3844 | -0.00444255 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3936 | -0.012834 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7907 | -0.0310978 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7432 | -0.0345531 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7203 | -0.0362808 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2228 | -0.0984765 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2198 | -0.100434 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2266 | -0.101174 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.937 | -0.762754 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 25.5143 | -0.797055 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7398 | -0.810874 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7508 | -0.812107 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7628 | -0.813588 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1862 | -0.837031 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2059 | -0.838541 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.209 | -0.838788 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6736 | -0.998416 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3352 | -1.00631 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3568 | -1.00952 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7385 | -1.01446 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0339 | -1.69454 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1346 | -1.75994 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1424 | -1.76092 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1473 | -1.76166 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7213 | -1.83169 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6759 | -1.90972 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 41.5667 | -2.01481 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.343 | -2.08937 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.339 | -2.08986 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.0563 | -2.11292 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3244 | -2.45458 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5806 | -2.46815 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2296 | -2.7421 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2363 | -2.74309 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2382 | -2.74334 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.484 | -2.74799 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6337 | -2.8504 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4691 | -3.01974 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4804 | -3.02112 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4175 | -3.38525 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8313 | -3.58181 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8414 | -3.58267 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8458 | -3.58329 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1308 | -3.70497 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3185 | -3.72372 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4827 | -4.23204 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4867 | -4.47239 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7732 | -4.57924 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7856 | -4.58121 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.5526 | -4.91801 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.93997 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2289 | -4.99062 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8992 | -5.40919 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6434 | -5.60267 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8871 | -5.65639 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8571 | -5.65865 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4977 | -5.70079 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9266 | -5.91937 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1536 | -6.89317 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.305 | -6.90569 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4193 | -7.05223 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1883 | -7.11933 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.6977 | -8.15315 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0474 | -8.52986 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6227 | -8.62364 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_9[cache_size=0.1,treshold=0.8] | 5.11123 | 0.106164 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.22281 | 0.104761 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18922 | 0.104761 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78731 | 0.0598178 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667113 | 0.00420793 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 2.92038e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 9.73649e-06 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00109018 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.000214142 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000525669 | -0.000467327 |
| LR_8[cache_size=0.1,treshold=0.9] | 0.000545138 | -0.000467327 |
| LR_9[cache_size=0.1,treshold=0.9] | 0.000525669 | -0.000467327 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 0.0007205 | -0.000467548 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00438992 | -0.000467613 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.000925169 | -0.000467613 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00148926 | -0.000467613 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 0.000749874 | -0.000467613 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00941253 | -0.000467681 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.0087258 | -0.000935226 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00978241 | -0.000935226 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00924195 | -0.000935226 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1894 | -0.00186931 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0260401 | -0.0023384 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0264781 | -0.0023384 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0265709 | -0.00280568 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0296905 | -0.00280568 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0360764 | -0.00280609 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193242 | -0.0187045 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.322731 | -0.0308625 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.900935 | -0.0837164 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4519 | -1.11589 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 29.9179 | -1.1497 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.4056 | -1.21329 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4119 | -1.21796 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3142 | -1.35431 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2081 | -1.36039 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1618 | -1.36226 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5346 | -1.37908 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5238 | -1.38002 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5068 | -1.38282 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7767 | -1.4889 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7692 | -1.49171 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9197 | -2.25358 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.085 | -2.26807 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 45.562 | -2.89088 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8032 | -3.21486 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8454 | -3.21626 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.8849 | -3.5601 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.948 | -3.56711 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.054 | -3.5872 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.397 | -3.81635 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4537 | -3.82383 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4972 | -3.82944 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8731 | -3.89802 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9047 | -3.9027 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5437 | -4.37484 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6328 | -4.38747 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4691 | -4.61329 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.1923 | -4.87019 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2066 | -5.06472 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.2495 | -5.06939 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1871 | -5.61264 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1913 | -5.61323 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1987 | -5.61404 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9207 | -5.76988 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9312 | -5.77165 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4702 | -6.50592 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1887 | -6.7014 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0476 | -7.12355 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.087 | -7.12916 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0941 | -7.13244 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.5267 | -7.4539 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.6733 | -7.47588 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7759 | -7.49365 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1682 | -7.73918 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2324 | -7.75181 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4754 | -8.14887 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4873 | -8.15308 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4755 | -8.34062 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7877 | -8.56745 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8 | -8.57072 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8426 | -10.1767 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9004 | -10.1884 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9625 | -10.2015 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8441 | -12.6879 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9617 | -12.7174 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8888 | -15.7511 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.464 | -16.5877 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4256 | 0.0242296 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.02019 | 0.0144068 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000679926 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00211991 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000319889 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 2.99968e-05 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 7.99722e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 6.99798e-05 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000899741 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000129955 | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00311966 | -0.000654489 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00361985 | -0.000654515 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0125295 | -0.00196354 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.66176 | -0.0124353 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79728 | -0.0124358 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.66471 | -0.0130898 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.6757 | -0.280132 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85546 | -0.299182 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.17679 | -0.330606 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95278 | -0.414308 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30227 | -0.454215 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42291 | -0.467822 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54304 | -0.481562 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61077 | -0.488922 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7981 | -0.968903 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 29.2006 | -0.974141 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8565 | -1.10548 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9112 | -1.11202 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.6868 | -1.58851 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 45.2721 | -2.8419 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7346 | -3.22619 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.728 | -3.22881 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8873 | -4.46885 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8388 | -4.50437 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8626 | -4.5083 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8913 | -4.51419 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6175 | -5.10436 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7041 | -5.1181 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1928 | -5.1203 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3574 | -5.35581 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3861 | -5.35997 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.8794 | -6.41948 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6674 | -6.9012 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7159 | -6.90644 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7107 | -7.09861 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4299 | -7.3964 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5185 | -7.41032 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3199 | -8.5013 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3439 | -8.50654 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3555 | -8.50916 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7881 | -8.81204 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.803 | -8.81531 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.836 | -9.11965 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8653 | -9.12816 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5048 | -9.16546 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7604 | -9.27214 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27607 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7992 | -9.27672 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5437 | -9.37553 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6811 | -9.38602 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8496 | -9.47765 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.895 | -9.48223 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1218 | -10.8437 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1327 | -10.8444 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6135 | -10.9281 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6096 | -11.5432 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7357 | -11.5738 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7831 | -11.5851 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1711 | -12.5459 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3625 | -12.5608 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5381 | -14.5869 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6057 | -14.6078 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7165 | -20.6094 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00139621 | -0.000111479 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.08333 | -0.121457 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.14557 | -0.126583 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02036 | -0.127636 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16108 | -0.128589 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.19918 | -0.132489 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.232 | -0.134829 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.26079 | -0.138172 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.55269 | -0.146451 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.83324 | -0.157605 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.84329 | -0.157828 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.84693 | -0.158051 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88183 | -0.421301 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.87906 | -0.421301 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90182 | -0.422638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9441 | -0.427763 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 23.7731 | -0.699754 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4125 | -0.701873 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05079 | -1.01836 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10767 | -1.02628 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9077 | -1.05476 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9133 | -1.05498 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60011 | -1.09428 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65421 | -1.10111 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 40.954 | -2.13337 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.09 | -2.94567 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0844 | -2.94589 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7553 | -4.31555 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7715 | -4.31778 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7728 | -4.31789 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7803 | -4.31946 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7867 | -4.31946 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7871 | -4.31957 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7096 | -4.44242 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.5096 | -5.15506 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5021 | -5.15551 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0456 | -5.7714 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0527 | -5.77251 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2133 | -5.8015 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2225 | -5.80294 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3204 | -6.64378 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4419 | -8.52503 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.445 | -8.52548 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4495 | -8.52615 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4519 | -8.52693 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2175 | -9.51499 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2239 | -9.51655 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2557 | -9.68164 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2698 | -9.68432 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6394 | -9.77829 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6513 | -9.78152 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.4942 | -11.9494 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5015 | -11.9516 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5077 | -11.9527 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5369 | -11.9594 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5399 | -11.9617 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5409 | -11.9617 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.598 | -13.9515 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4519 | -14.9085 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0465 | -16.2559 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4101 | -16.3652 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4278 | -16.3719 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6074 | -16.4232 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6239 | -16.4288 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.2943 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
Model Classification Report
LR_7
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.47 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.68 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.68 0.66 49785283
Accuracy: 0.6755959587494963
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6464878150194611
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.726206618128494
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.7262065980422368
0-1%
precision recall f1-score support
0 0.84 0.65 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.7031807469744483
precision recall f1-score support
0 0.84 0.65 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.7031807246844353
1-10%
precision recall f1-score support
0 0.09 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9303529753157377
precision recall f1-score support
0 0.84 0.64 0.72 28052152
1 0.64 0.83 0.72 21263340
accuracy 0.72 49315492
macro avg 0.74 0.74 0.72 49315492
weighted avg 0.75 0.72 0.72 49315492
Accuracy: 0.7236905392731355
10-20%
precision recall f1-score support
0 0.84 0.64 0.72 28054607
1 0.64 0.84 0.73 21520956
accuracy 0.73 49575563
macro avg 0.74 0.74 0.73 49575563
weighted avg 0.75 0.73 0.73 49575563
Accuracy: 0.7250804393285458
precision recall f1-score support
0 0.01 0.00 0.00 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.988637718161579
20-40%
precision recall f1-score support
0 0.84 0.64 0.72 28055266
1 0.64 0.84 0.73 21651524
accuracy 0.73 49706790
macro avg 0.74 0.74 0.73 49706790
weighted avg 0.75 0.73 0.73 49706790
Accuracy: 0.7257862959969855
precision recall f1-score support
0 0.01 0.00 0.01 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9924482004465545
40-80%
precision recall f1-score support
0 0.84 0.64 0.72 28055435
1 0.64 0.84 0.73 21716758
accuracy 0.73 49772193
macro avg 0.74 0.74 0.73 49772193
weighted avg 0.75 0.73 0.73 49772193
Accuracy: 0.7261369214734018
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 0.99 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 0.99 0.99 65403
Accuracy: 0.9926150176597404
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.99 1.00 7371
accuracy 0.99 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9928242621175196
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9891304347826086
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7355653276089643
0-1%
precision recall f1-score support
0 0.78 0.76 0.77 27764588
1 0.62 0.65 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7159792266885637
1-10%
precision recall f1-score support
0 0.09 0.05 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.89 4452351
Accuracy: 0.9077972513847179
10-20%
precision recall f1-score support
0 0.01 0.02 0.01 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9765948529440037
20-40%
precision recall f1-score support
0 0.01 0.03 0.01 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9748755972475177
40-80%
precision recall f1-score support
0 0.00 0.05 0.01 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9638854486797241
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9545085296506904
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9491584852734923
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.7110544294786875
0-1%
precision recall f1-score support
0 0.70 0.88 0.78 27764588
1 0.68 0.39 0.50 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6968400406917563
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.8325159000267499
10-20%
precision recall f1-score support
0 0.01 0.06 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.934371767709587
20-40%
precision recall f1-score support
0 0.01 0.10 0.01 659
1 1.00 0.92 0.95 130568
accuracy 0.91 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.91 0.95 131227
Accuracy: 0.9129371242198633
40-80%
precision recall f1-score support
0 0.00 0.17 0.01 169
1 1.00 0.87 0.93 65234
accuracy 0.87 65403
macro avg 0.50 0.52 0.47 65403
weighted avg 0.99 0.87 0.93 65403
Accuracy: 0.8724676238093054
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.85 0.92 7371
accuracy 0.85 7386
macro avg 0.50 0.49 0.46 7386
weighted avg 1.00 0.85 0.92 7386
Accuracy: 0.8479555916598971
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.85 0.92 5686
accuracy 0.85 5704
macro avg 0.50 0.59 0.47 5704
weighted avg 0.99 0.85 0.91 5704
Accuracy: 0.8467741935483871
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.90 0.16 0.27 21729815
accuracy 0.62 49785283
macro avg 0.75 0.57 0.51 49785283
weighted avg 0.73 0.62 0.54 49785283
Accuracy: 0.623849602301146
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.78 0.05 0.10 17098553
accuracy 0.63 44863141
macro avg 0.70 0.52 0.43 44863141
weighted avg 0.69 0.63 0.51 44863141
Accuracy: 0.6327755785088699
1-10%
precision recall f1-score support
0 0.07 0.56 0.13 287564
1 0.94 0.52 0.67 4164787
accuracy 0.53 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.53 0.64 4452351
Accuracy: 0.5269303790289669
10-20%
precision recall f1-score support
0 0.01 0.24 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.76 0.85 260071
Accuracy: 0.7580468410549427
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.66 131227
macro avg 0.50 0.51 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6645354995542075
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.52 0.35 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5224072290261914
80-90%
precision recall f1-score support
0 0.00 0.47 0.00 15
1 1.00 0.43 0.60 7371
accuracy 0.43 7386
macro avg 0.50 0.45 0.30 7386
weighted avg 1.00 0.43 0.60 7386
Accuracy: 0.4309504467912266
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.43 0.60 5686
accuracy 0.43 5704
macro avg 0.50 0.49 0.30 5704
weighted avg 0.99 0.43 0.60 5704
Accuracy: 0.42934782608695654
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 28055468
1 0.95 0.03 0.06 21729815
accuracy 0.58 49785283
macro avg 0.76 0.51 0.39 49785283
weighted avg 0.74 0.58 0.44 49785283
Accuracy: 0.5762185784903543
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.55 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.58 0.50 0.38 44863141
weighted avg 0.59 0.62 0.47 44863141
Accuracy: 0.6189122602895771
1-10%
precision recall f1-score support
0 0.07 0.92 0.13 287564
1 0.96 0.14 0.24 4164787
accuracy 0.19 4452351
macro avg 0.51 0.53 0.18 4452351
weighted avg 0.90 0.19 0.23 4452351
Accuracy: 0.18617085670020175
10-20%
precision recall f1-score support
0 0.01 0.69 0.02 2455
1 0.99 0.30 0.46 257616
accuracy 0.31 260071
macro avg 0.50 0.50 0.24 260071
weighted avg 0.98 0.31 0.46 260071
Accuracy: 0.30700078055607893
20-40%
precision recall f1-score support
0 0.00 0.90 0.01 659
1 0.99 0.09 0.16 130568
accuracy 0.09 131227
macro avg 0.50 0.49 0.08 131227
weighted avg 0.99 0.09 0.16 131227
Accuracy: 0.08976811174529632
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 1.00 0.00 0.00 65403
Accuracy: 0.004648104826995704
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6900191844087252
0-1%
precision recall f1-score support
0 0.97 0.82 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7982386720111745
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.59 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.59 0.52 27835287
Accuracy: 0.5850499763124412
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8686038463090511
20-40%
precision recall f1-score support
0 0.24 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9285036731914862
40-80%
precision recall f1-score support
0 0.21 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.960486302949195
80-90%
precision recall f1-score support
0 0.22 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9732980747524912
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.60 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.9748780119724332
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341488131584899
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341488131584899
0-1%
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8825039121737006
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8825039121737006
1-10%
precision recall f1-score support
0 0.84 0.66 0.74 25421477
1 0.58 0.79 0.67 14975241
accuracy 0.71 40396718
macro avg 0.71 0.72 0.70 40396718
weighted avg 0.74 0.71 0.71 40396718
Accuracy: 0.7066286919645304
precision recall f1-score support
0 0.68 0.43 0.53 13368467
1 0.61 0.81 0.69 14466820
accuracy 0.63 27835287
macro avg 0.64 0.62 0.61 27835287
weighted avg 0.64 0.63 0.61 27835287
Accuracy: 0.6272601751869847
10-20%
precision recall f1-score support
0 0.84 0.65 0.73 25924842
1 0.62 0.82 0.71 18362515
accuracy 0.72 44287357
macro avg 0.73 0.73 0.72 44287357
weighted avg 0.75 0.72 0.72 44287357
Accuracy: 0.7193548488341718
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.851491233188173
20-40%
precision recall f1-score support
0 0.84 0.64 0.73 26072330
1 0.65 0.84 0.73 20332940
accuracy 0.73 46405270
macro avg 0.74 0.74 0.73 46405270
weighted avg 0.75 0.73 0.73 46405270
Accuracy: 0.7281251461310321
precision recall f1-score support
0 0.12 0.04 0.06 147488
1 0.93 0.98 0.95 1970425
accuracy 0.91 2117913
macro avg 0.53 0.51 0.51 2117913
weighted avg 0.88 0.91 0.89 2117913
Accuracy: 0.9115195005649429
40-80%
precision recall f1-score support
0 0.83 0.64 0.73 26113946
1 0.66 0.84 0.74 21397219
accuracy 0.73 47511165
macro avg 0.75 0.74 0.73 47511165
weighted avg 0.76 0.73 0.73 47511165
Accuracy: 0.7331112802643337
precision recall f1-score support
0 0.07 0.05 0.06 41616
1 0.96 0.98 0.97 1064279
accuracy 0.94 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.94 0.94 1105895
Accuracy: 0.9423381062397425
80-90%
precision recall f1-score support
0 0.06 0.06 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.95 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.95 0.95 124036
Accuracy: 0.9538601696281724
90-100%
precision recall f1-score support
0 0.06 0.06 0.06 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9559233361839127
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409564124099846
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.9175185534195905
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313560194295823
10-20%
precision recall f1-score support
0 0.18 0.11 0.14 503365
1 0.88 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8202835061284277
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8809167326514357
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.9104318221892675
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.9208778096681609
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.9229538709190603
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148622981956315
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.08 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455314446260144
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.53 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5979200430015326
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.7282690581161604
20-40%
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7927138650171183
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8195850419795732
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8249137347221774
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8263393530861713
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.56 0.49 47734596
weighted avg 0.70 0.60 0.52 47734596
Accuracy: 0.6038039161366318
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588727590033334
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.501558687000425
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33381920039356006
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.4275987729429868
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.46 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4609424945406209
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.46 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.45997936083072655
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.46 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.46 0.61 99395
Accuracy: 0.4557271492529805
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471723275923399
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.95949999645741
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.71 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6928762951350197
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9516461536032784
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.57 24965875
macro avg 0.65 0.66 0.57 24965875
weighted avg 0.73 0.57 0.58 24965875
Accuracy: 0.574837413068839
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249309383998457
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8415238914138824
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.59 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094703649394562
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372821857687832
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423667114474705
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.65 0.73 24893266
1 0.66 0.85 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7366780416056622
precision recall f1-score support
0 0.83 0.65 0.73 24893266
1 0.66 0.85 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7366780416056622
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834707033023944
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834707033023944
1-10%
precision recall f1-score support
0 0.81 0.65 0.72 16949103
1 0.48 0.69 0.56 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6595340239426818
precision recall f1-score support
0 0.86 0.72 0.79 21822692
1 0.48 0.69 0.56 8020644
accuracy 0.71 29843336
macro avg 0.67 0.70 0.67 29843336
weighted avg 0.76 0.71 0.73 29843336
Accuracy: 0.7124767820862923
10-20%
precision recall f1-score support
0 0.85 0.67 0.75 23880186
1 0.57 0.79 0.66 13481800
accuracy 0.71 37361986
macro avg 0.71 0.73 0.71 37361986
weighted avg 0.75 0.71 0.72 37361986
Accuracy: 0.712518065822304
precision recall f1-score support
0 0.42 0.13 0.19 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7126819309317497
20-40%
precision recall f1-score support
0 0.84 0.65 0.73 24625160
1 0.63 0.83 0.71 17542339
accuracy 0.72 42167499
macro avg 0.73 0.74 0.72 42167499
weighted avg 0.75 0.72 0.73 42167499
Accuracy: 0.7247401606625994
precision recall f1-score support
0 0.25 0.08 0.13 744974
1 0.85 0.95 0.90 4060539
accuracy 0.82 4805513
macro avg 0.55 0.52 0.51 4805513
weighted avg 0.76 0.82 0.78 4805513
Accuracy: 0.8197647160667342
40-80%
precision recall f1-score support
0 0.16 0.08 0.10 235909
1 0.92 0.96 0.94 2483775
accuracy 0.88 2719684
macro avg 0.54 0.52 0.52 2719684
weighted avg 0.85 0.88 0.87 2719684
Accuracy: 0.8847226368945804
precision recall f1-score support
0 0.84 0.65 0.73 24861069
1 0.66 0.84 0.74 20026114
accuracy 0.73 44887183
macro avg 0.75 0.74 0.73 44887183
weighted avg 0.76 0.73 0.73 44887183
Accuracy: 0.7344333904847626
80-90%
precision recall f1-score support
0 0.12 0.08 0.09 18577
1 0.94 0.96 0.95 296772
accuracy 0.91 315349
macro avg 0.53 0.52 0.52 315349
weighted avg 0.89 0.91 0.90 315349
Accuracy: 0.9116280692185483
90-100%
precision recall f1-score support
0 0.10 0.07 0.09 13620
1 0.95 0.96 0.96 240209
accuracy 0.92 253829
macro avg 0.53 0.52 0.52 253829
weighted avg 0.90 0.92 0.91 253829
Accuracy: 0.9162704025150791
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428696503004277
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929291079928676
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6879438032914929
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6884778517420016
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7854501694199975
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8462534617992384
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.8718816295596308
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8771850340189655
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7165491095954646
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978880405194424
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6978752397021935
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5972331469080221
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6909695177185037
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7465668805640655
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7704860329349388
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7770625105878367
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.51 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6077220083675418
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991612439340878
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6862760468038873
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3530327917910795
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.34 0.38 4805513
Accuracy: 0.3438069983371182
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.36 0.52 2483775
accuracy 0.39 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.39 0.49 2719684
Accuracy: 0.39309125619005736
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.42 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.42 0.54 315349
Accuracy: 0.42294410319994674
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.55 253829
Accuracy: 0.4295056908391082
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886409980411242
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7289276775020659
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5069134913427663
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6575001693124678
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7901185158715979
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478683461365778
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.859676790108637
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7380616072753698
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.738061632610684
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
1-10%
precision recall f1-score support
0 0.94 0.89 0.91 12989887
1 0.27 0.42 0.33 1271288
accuracy 0.85 14261175
macro avg 0.61 0.65 0.62 14261175
weighted avg 0.88 0.85 0.86 14261175
Accuracy: 0.848070232642121
precision recall f1-score support
0 0.93 0.88 0.90 11439888
1 0.27 0.42 0.33 1271288
accuracy 0.83 12711176
macro avg 0.60 0.65 0.62 12711176
weighted avg 0.87 0.83 0.85 12711176
Accuracy: 0.829544095683987
10-20%
precision recall f1-score support
0 0.89 0.77 0.83 18034328
1 0.46 0.68 0.54 5083660
accuracy 0.75 23117988
macro avg 0.68 0.72 0.69 23117988
weighted avg 0.80 0.75 0.77 23117988
Accuracy: 0.751271780225857
precision recall f1-score support
0 0.72 0.47 0.57 5044441
1 0.52 0.76 0.62 3812372
accuracy 0.60 8856813
macro avg 0.62 0.62 0.59 8856813
weighted avg 0.64 0.60 0.59 8856813
Accuracy: 0.5954075128378571
20-40%
precision recall f1-score support
0 0.55 0.23 0.33 2995598
1 0.69 0.90 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.55 8578813
weighted avg 0.64 0.67 0.62 8578813
Accuracy: 0.6660275728122294
40-80%
precision recall f1-score support
0 0.85 0.66 0.75 22324987
1 0.64 0.83 0.72 15668439
accuracy 0.73 37993426
macro avg 0.74 0.75 0.73 37993426
weighted avg 0.76 0.73 0.74 37993426
Accuracy: 0.7347993834512317
precision recall f1-score support
0 0.36 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.73 6296625
Accuracy: 0.7680190578285987
80-90%
precision recall f1-score support
0 0.28 0.16 0.20 117971
1 0.87 0.93 0.90 692761
accuracy 0.82 810732
macro avg 0.57 0.54 0.55 810732
weighted avg 0.78 0.82 0.80 810732
Accuracy: 0.8174316543568034
90-100%
precision recall f1-score support
0 0.26 0.15 0.19 88944
1 0.88 0.93 0.90 577496
accuracy 0.83 666440
macro avg 0.57 0.54 0.55 666440
weighted avg 0.79 0.83 0.81 666440
Accuracy: 0.8274863453574215
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480667761861627
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.8637388074872066
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6256980925305751
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613833405623831
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355556349631747
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.774581489320762
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.7839235340015606
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.7295214782405881
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877049613662812
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.6289794082815117
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154488971842608
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6527049014352927
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.6739526748666637
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813351539523438
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.6486970377291978
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8992394566796966
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995312309292293
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.4669942100381486
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.42776217418061263
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41582668502045067
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.41608546905948024
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7257623703776074
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7021582149141096
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399844488179
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399643625607
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877860714211
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877637814079
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7641813246028246
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.765368897575606
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7659750710114251
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.87 0.69 0.77 28055435
1 0.68 0.87 0.76 21716758
accuracy 0.77 49772193
macro avg 0.78 0.78 0.77 49772193
weighted avg 0.79 0.77 0.77 49772193
Accuracy: 0.7662791952928415
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7768952523580112
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7589012993985419
1-10%
precision recall f1-score support
0 0.17 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.55 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9354112018571761
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690147307187146
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502416070243499
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9345509821665003
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905487347685824
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.35 0.50 21729815
accuracy 0.69 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.69 0.66 49785283
Accuracy: 0.6938841544799494
0-1%
precision recall f1-score support
0 0.67 0.97 0.79 27764588
1 0.79 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6780533266718887
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.87 0.90 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.85 4452351
Accuracy: 0.8276360062358067
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.9337411706803143
20-40%
precision recall f1-score support
0 0.01 0.06 0.01 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9424661083466055
40-80%
precision recall f1-score support
0 0.00 0.09 0.01 169
1 1.00 0.95 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.52 0.49 65403
weighted avg 0.99 0.94 0.97 65403
Accuracy: 0.9445744079017782
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9471974004874086
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9468793828892006
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020437336476043
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8613169948551244
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768599404058596
10-20%
precision recall f1-score support
0 0.19 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696427502011881
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300230934887316
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.96225952735115
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.76 0.71 0.72 40396718
Accuracy: 0.7132848019980237
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6171641054033321
10-20%
precision recall f1-score support
0 0.85 0.64 0.73 25924842
1 0.63 0.85 0.72 18362515
accuracy 0.73 44287357
macro avg 0.74 0.74 0.73 44287357
weighted avg 0.76 0.73 0.73 44287357
Accuracy: 0.7257807007991016
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.855526303005753
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9222607349782546
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399509146955248
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9582763282228421
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721774323583475
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.974324664218522
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475041791492275
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442320703747845
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252407959723929
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8300199530205706
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069602953473538
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500739220269555
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668967074075269
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9695055083253685
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7039990869515267
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548778319922309
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5969808394646694
10-20%
precision recall f1-score support
0 0.15 0.37 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6523319177132599
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7008588171468799
40-80%
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7286134759629078
80-90%
precision recall f1-score support
0 0.03 0.31 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7386000838466251
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7406609990442176
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.82 0.01 0.03 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.37 47734596
weighted avg 0.67 0.55 0.40 47734596
Accuracy: 0.552428033537772
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.50 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.73 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.72 0.01 0.02 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4832352905145185
10-20%
precision recall f1-score support
0 0.13 0.98 0.23 503365
1 0.88 0.02 0.05 3387274
accuracy 0.15 3890639
macro avg 0.51 0.50 0.14 3890639
weighted avg 0.79 0.15 0.07 3890639
Accuracy: 0.14792557212324248
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.94 0.03 0.06 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.09 2117913
weighted avg 0.88 0.10 0.06 2117913
Accuracy: 0.09554736195490561
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.97 0.03 0.06 1064279
accuracy 0.07 1105895
macro avg 0.50 0.50 0.07 1105895
weighted avg 0.93 0.07 0.06 1105895
Accuracy: 0.06813757183096045
80-90%
precision recall f1-score support
0 0.03 0.97 0.05 3093
1 0.98 0.03 0.07 120943
accuracy 0.06 124036
macro avg 0.50 0.50 0.06 124036
weighted avg 0.96 0.06 0.07 124036
Accuracy: 0.05759618175368442
90-100%
precision recall f1-score support
0 0.02 0.97 0.05 2328
1 0.98 0.03 0.07 97067
accuracy 0.06 99395
macro avg 0.50 0.50 0.06 99395
weighted avg 0.96 0.06 0.06 99395
Accuracy: 0.055777453594245185
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6376305397609808
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202958260455594
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.4858217867388986
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7185424245043991
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8308603056531113
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8982889188596911
80-90%
precision recall f1-score support
0 0.09 0.03 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9262023979781131
90-100%
precision recall f1-score support
0 0.07 0.02 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9312292921612582
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5884618504258312
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6505325342984444
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582472891028865
precision recall f1-score support
0 0.39 0.25 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.688868879386592
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699577558536256
precision recall f1-score support
0 0.23 0.22 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7610044962941521
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8037933818781888
precision recall f1-score support
0 0.81 0.54 0.65 24861069
1 0.60 0.84 0.70 20026114
accuracy 0.68 44887183
macro avg 0.71 0.69 0.68 44887183
weighted avg 0.72 0.68 0.67 44887183
Accuracy: 0.6780667657402337
80-90%
precision recall f1-score support
0 0.09 0.22 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8199169808688151
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8239838631519645
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992088522000254
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.985867237072731
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6460417269572967
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6638534843356187
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7115223702443423
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.738614486094708
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7480061772829468
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751572909320842
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.547599773769836
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992042991220227
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788619265297131
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.17 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.22 0.50 0.21 7518650
weighted avg 0.20 0.27 0.12 7518650
Accuracy: 0.2736177372267628
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.12 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.13 0.15 0.04 4805513
Accuracy: 0.15498303719082646
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.05 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08668433538602278
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058861769024160536
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.11 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.08 0.50 0.05 253829
weighted avg 0.11 0.05 0.01 253829
Accuracy: 0.05360301620382226
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.03 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.29 0.50 0.35 45456361
weighted avg 0.31 0.55 0.39 45456361
Accuracy: 0.5476286366169962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.03 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.35 0.50 0.40 24965875
weighted avg 0.47 0.68 0.55 24965875
Accuracy: 0.6788895642552084
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.07 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.17 0.50 0.21 7518650
weighted avg 0.13 0.27 0.12 7518650
Accuracy: 0.2736504558664122
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502299130186517
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08673875347282993
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058906164281478615
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365423178596614
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008507142455759
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673580434568022
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47111714919217546
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5128106464481073
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608438719902159
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649380422051496
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088135166738207
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173233899525839
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950248891592674
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950249144945815
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.758223778896199
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7288291028304541
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7012975350623073
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096352039949359
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6908919294410815
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628511426930509
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.79 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6937290414399586
precision recall f1-score support
0 0.33 0.41 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7080108788438251
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.726632228652625
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7304513534601764
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205015996970707
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353681044145719
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560412870859981
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6403670297977121
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639187977686459
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372574414233063
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373476982173939
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930104023252954
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030441400543899
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643612098392503
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.55040703183529
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48414015444781927
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4561112673485196
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4510353520196867
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.71 0.78 28055468
1 0.69 0.85 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7702849856251696
0-1%
precision recall f1-score support
0 0.86 0.71 0.78 27764588
1 0.64 0.81 0.71 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.78 0.75 0.76 44863141
Accuracy: 0.7515656115116862
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658346343034748
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658346142172175
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7467056976683821
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7467056753783691
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9346199345020193
precision recall f1-score support
0 0.75 0.87 0.81 28052152
1 0.78 0.63 0.70 21263340
accuracy 0.76 49315492
macro avg 0.77 0.75 0.75 49315492
weighted avg 0.77 0.76 0.76 49315492
Accuracy: 0.7636711603728905
10-20%
precision recall f1-score support
0 0.75 0.87 0.81 28054607
1 0.78 0.63 0.70 21520956
accuracy 0.76 49575563
macro avg 0.77 0.75 0.75 49575563
weighted avg 0.77 0.76 0.76 49575563
Accuracy: 0.7648614096424886
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.75 0.87 0.81 28055266
1 0.79 0.63 0.70 21651524
accuracy 0.77 49706790
macro avg 0.77 0.75 0.75 49706790
weighted avg 0.77 0.77 0.76 49706790
Accuracy: 0.7654689228574205
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.75 0.87 0.81 28055435
1 0.79 0.64 0.70 21716758
accuracy 0.77 49772193
macro avg 0.77 0.75 0.75 49772193
weighted avg 0.77 0.77 0.76 49772193
Accuracy: 0.765773712241291
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.94 0.79 28055468
1 0.85 0.43 0.57 21729815
accuracy 0.72 49785283
macro avg 0.77 0.68 0.68 49785283
weighted avg 0.76 0.72 0.69 49785283
Accuracy: 0.7171359857490416
0-1%
precision recall f1-score support
0 0.68 0.95 0.80 27764588
1 0.78 0.28 0.41 17098553
accuracy 0.70 44863141
macro avg 0.73 0.62 0.60 44863141
weighted avg 0.72 0.70 0.65 44863141
Accuracy: 0.6962432701713863
1-10%
precision recall f1-score support
0 0.09 0.06 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.8991937068753115
10-20%
precision recall f1-score support
0 0.03 0.02 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.98362754786193
20-40%
precision recall f1-score support
0 0.04 0.05 0.04 659
1 1.00 0.99 0.99 130568
accuracy 0.99 131227
macro avg 0.52 0.52 0.52 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.989796307162398
40-80%
precision recall f1-score support
0 0.04 0.08 0.06 169
1 1.00 1.00 1.00 65234
accuracy 0.99 65403
macro avg 0.52 0.54 0.53 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9926914667522897
80-90%
precision recall f1-score support
0 0.03 0.07 0.04 15
1 1.00 1.00 1.00 7371
accuracy 0.99 7386
macro avg 0.52 0.53 0.52 7386
weighted avg 1.00 0.99 1.00 7386
Accuracy: 0.9940427836447333
90-100%
precision recall f1-score support
0 0.13 0.22 0.17 18
1 1.00 1.00 1.00 5686
accuracy 0.99 5704
macro avg 0.57 0.61 0.58 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9929873772791024
Treshold: 0.7
All
precision recall f1-score support
0 0.59 1.00 0.74 28055468
1 0.94 0.09 0.17 21729815
accuracy 0.60 49785283
macro avg 0.76 0.54 0.45 49785283
weighted avg 0.74 0.60 0.49 49785283
Accuracy: 0.6014690726976484
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.84 0.02 0.03 17098553
accuracy 0.62 44863141
macro avg 0.73 0.51 0.40 44863141
weighted avg 0.70 0.62 0.49 44863141
Accuracy: 0.623780376857697
1-10%
precision recall f1-score support
0 0.07 0.72 0.13 287564
1 0.95 0.35 0.51 4164787
accuracy 0.37 4452351
macro avg 0.51 0.54 0.32 4452351
weighted avg 0.89 0.37 0.49 4452351
Accuracy: 0.3730179853295484
10-20%
precision recall f1-score support
0 0.01 0.39 0.02 2455
1 0.99 0.62 0.76 257616
accuracy 0.62 260071
macro avg 0.50 0.51 0.39 260071
weighted avg 0.98 0.62 0.76 260071
Accuracy: 0.6206420554387071
20-40%
precision recall f1-score support
0 0.01 0.40 0.01 659
1 1.00 0.65 0.79 130568
accuracy 0.65 131227
macro avg 0.50 0.53 0.40 131227
weighted avg 0.99 0.65 0.78 131227
Accuracy: 0.6498052992143385
40-80%
precision recall f1-score support
0 0.00 0.40 0.01 169
1 1.00 0.66 0.80 65234
accuracy 0.66 65403
macro avg 0.50 0.53 0.40 65403
weighted avg 1.00 0.66 0.80 65403
Accuracy: 0.6629665305872819
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.66 0.79 7371
accuracy 0.66 7386
macro avg 0.50 0.50 0.40 7386
weighted avg 1.00 0.66 0.79 7386
Accuracy: 0.657324668291362
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.68 0.81 5686
accuracy 0.68 5704
macro avg 0.50 0.56 0.41 5704
weighted avg 0.99 0.68 0.80 5704
Accuracy: 0.6760168302945302
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.67 0.86 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.742081319804194
0-1%
precision recall f1-score support
0 0.97 0.96 0.96 12053010
1 0.19 0.24 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.60 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9284465281065509
1-10%
precision recall f1-score support
0 0.68 0.39 0.50 13368467
1 0.60 0.83 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.63 0.62 0.60 27835287
Accuracy: 0.6182538013709001
10-20%
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8540707580425735
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9214377549974905
40-80%
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.957853141573115
80-90%
precision recall f1-score support
0 0.04 0.01 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9718871940404399
90-100%
precision recall f1-score support
0 0.03 0.00 0.01 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9741234468534634
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7008368312156659
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7008368312156659
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552677557198698
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552677557198698
1-10%
precision recall f1-score support
0 0.73 0.86 0.79 25421477
1 0.65 0.45 0.53 14975241
accuracy 0.71 40396718
macro avg 0.69 0.65 0.66 40396718
weighted avg 0.70 0.71 0.69 40396718
Accuracy: 0.7063740920735194
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5940540508887154
10-20%
precision recall f1-score support
0 0.70 0.85 0.77 25924842
1 0.70 0.49 0.58 18362515
accuracy 0.70 44287357
macro avg 0.70 0.67 0.67 44287357
weighted avg 0.70 0.70 0.69 44287357
Accuracy: 0.7007614611095442
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.6424852061576517
20-40%
precision recall f1-score support
0 0.69 0.85 0.76 26072330
1 0.72 0.51 0.60 20332940
accuracy 0.70 46405270
macro avg 0.71 0.68 0.68 46405270
weighted avg 0.70 0.70 0.69 46405270
Accuracy: 0.7002901825590068
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.72 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6904353483830544
40-80%
precision recall f1-score support
0 0.68 0.85 0.76 26113946
1 0.74 0.52 0.61 21397219
accuracy 0.70 47511165
macro avg 0.71 0.68 0.68 47511165
weighted avg 0.71 0.70 0.69 47511165
Accuracy: 0.7007034662273594
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.72 0.81 1105895
Accuracy: 0.7180455649044439
80-90%
precision recall f1-score support
0 0.03 0.32 0.05 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7281192556999581
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.7305397655817697
Treshold: 0.6
All
precision recall f1-score support
0 0.59 0.95 0.73 26119367
1 0.77 0.18 0.30 21615229
accuracy 0.61 47734596
macro avg 0.68 0.57 0.51 47734596
weighted avg 0.67 0.61 0.53 47734596
Accuracy: 0.6056801444386374
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.00 0.01 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9591213771743045
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.59 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.518705914546525
10-20%
precision recall f1-score support
0 0.13 0.75 0.23 503365
1 0.88 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.51 0.32 3890639
weighted avg 0.78 0.33 0.39 3890639
Accuracy: 0.33185474159900213
20-40%
precision recall f1-score support
0 0.07 0.73 0.13 147488
1 0.94 0.30 0.45 1970425
accuracy 0.33 2117913
macro avg 0.50 0.51 0.29 2117913
weighted avg 0.88 0.33 0.43 2117913
Accuracy: 0.3286985820475156
40-80%
precision recall f1-score support
0 0.04 0.72 0.07 41616
1 0.97 0.31 0.47 1064279
accuracy 0.33 1105895
macro avg 0.50 0.52 0.27 1105895
weighted avg 0.93 0.33 0.46 1105895
Accuracy: 0.3296633043824233
80-90%
precision recall f1-score support
0 0.03 0.72 0.05 3093
1 0.98 0.32 0.48 120943
accuracy 0.33 124036
macro avg 0.50 0.52 0.27 124036
weighted avg 0.95 0.33 0.47 124036
Accuracy: 0.3312102937856751
90-100%
precision recall f1-score support
0 0.02 0.71 0.05 2328
1 0.98 0.32 0.48 97067
accuracy 0.33 99395
macro avg 0.50 0.51 0.26 99395
weighted avg 0.96 0.33 0.47 99395
Accuracy: 0.3289400875295538
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.56 0.66 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.70 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6820545753761503
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.64 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9698966326947566
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5947781521777226
10-20%
precision recall f1-score support
0 0.39 0.26 0.31 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6865985250011638
20-40%
precision recall f1-score support
0 0.23 0.24 0.23 744974
1 0.86 0.85 0.85 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7557752939176317
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.88 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7966421834301338
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.89 296772
accuracy 0.81 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.811944861090411
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8158484649114167
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.07 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.31 0.50 0.35 45456361
weighted avg 0.33 0.55 0.39 45456361
Accuracy: 0.547626502702229
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.07 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.31 0.50 0.35 45456361
weighted avg 0.33 0.55 0.39 45456361
Accuracy: 0.547626502702229
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.09 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.38 0.50 0.40 24965875
weighted avg 0.49 0.68 0.55 24965875
Accuracy: 0.6788877217401753
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.09 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.41 0.50 0.42 29843336
weighted avg 0.56 0.73 0.62 29843336
Accuracy: 0.7312390947178291
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.09 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.36 0.50 0.39 37361986
weighted avg 0.44 0.64 0.50 37361986
Accuracy: 0.6391545138954873
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.09 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.18 0.50 0.21 7518650
weighted avg 0.14 0.27 0.12 7518650
Accuracy: 0.2736485938300094
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.08 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.33 0.50 0.37 42167499
weighted avg 0.37 0.58 0.43 42167499
Accuracy: 0.5839812078966314
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.03 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.09 0.50 0.13 4805513
weighted avg 0.05 0.16 0.04 4805513
Accuracy: 0.15501882941529863
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08673507657507269
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.07 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.31 0.50 0.36 44887183
weighted avg 0.34 0.55 0.39 44887183
Accuracy: 0.5538534017605872
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058899822101861746
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05363847314530649
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7088074013978709
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678910275492999
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299770583391565
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623954852495327
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927723979115796
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044670741996122
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071259228137566
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.683587616280858
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.683587616280858
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159722813863515
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9057259532870916
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174503334805779
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6588110192684434
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5331026565097059
40-80%
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6936915086309932
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.4581060488753896
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4262259291603144
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42065302202748933
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5741258847915098
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.900488829672408
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5723699935857288
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.3542627633916254
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21252274035693725
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15309868119181183
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.83 0.14 0.05 666440
Accuracy: 0.14104045375427646
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.90 0.64 0.75 28055468
1 0.66 0.90 0.76 21729815
accuracy 0.75 49785283
macro avg 0.78 0.77 0.75 49785283
weighted avg 0.79 0.75 0.75 49785283
Accuracy: 0.7543097826721202
0-1%
precision recall f1-score support
0 0.90 0.65 0.75 27764588
1 0.60 0.88 0.72 17098553
accuracy 0.73 44863141
macro avg 0.75 0.76 0.73 44863141
weighted avg 0.78 0.73 0.74 44863141
Accuracy: 0.7338376954034493
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7775125030423148
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.777512523128572
0-1%
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595866281409053
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595866504309183
1-10%
precision recall f1-score support
0 0.17 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.55 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9354076082501133
precision recall f1-score support
0 0.81 0.79 0.80 28052152
1 0.73 0.76 0.74 21263340
accuracy 0.78 49315492
macro avg 0.77 0.77 0.77 49315492
weighted avg 0.78 0.78 0.78 49315492
Accuracy: 0.7754602752417029
10-20%
precision recall f1-score support
0 0.81 0.79 0.80 28054607
1 0.73 0.76 0.75 21520956
accuracy 0.78 49575563
macro avg 0.77 0.77 0.77 49575563
weighted avg 0.78 0.78 0.78 49575563
Accuracy: 0.7765886793862533
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.81 0.79 0.80 28055266
1 0.74 0.76 0.75 21651524
accuracy 0.78 49706790
macro avg 0.77 0.78 0.77 49706790
weighted avg 0.78 0.78 0.78 49706790
Accuracy: 0.7771652323555795
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.81 0.79 0.80 28055435
1 0.74 0.76 0.75 21716758
accuracy 0.78 49772193
macro avg 0.77 0.78 0.77 49772193
weighted avg 0.78 0.78 0.78 49772193
Accuracy: 0.7774546522392534
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.63 0.70 21729815
accuracy 0.76 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.76 0.76 49785283
Accuracy: 0.7644530211870042
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.53 0.61 17098553
accuracy 0.75 44863141
macro avg 0.74 0.70 0.71 44863141
weighted avg 0.74 0.75 0.73 44863141
Accuracy: 0.7452062484880405
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.934280563235019
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905487347685824
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.66 0.95 0.78 28055468
1 0.86 0.38 0.53 21729815
accuracy 0.70 49785283
macro avg 0.76 0.67 0.66 49785283
weighted avg 0.75 0.70 0.67 49785283
Accuracy: 0.7029971889483886
0-1%
precision recall f1-score support
0 0.67 0.96 0.79 27764588
1 0.79 0.23 0.36 17098553
accuracy 0.68 44863141
macro avg 0.73 0.60 0.58 44863141
weighted avg 0.72 0.68 0.63 44863141
Accuracy: 0.6842199256623606
1-10%
precision recall f1-score support
0 0.09 0.12 0.10 287564
1 0.94 0.92 0.93 4164787
accuracy 0.86 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.86 0.87 4452351
Accuracy: 0.864138743778287
10-20%
precision recall f1-score support
0 0.01 0.04 0.02 2455
1 0.99 0.97 0.98 257616
accuracy 0.96 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.96 0.97 260071
Accuracy: 0.9649787942523388
20-40%
precision recall f1-score support
0 0.01 0.03 0.01 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9727190288583905
40-80%
precision recall f1-score support
0 0.00 0.02 0.00 169
1 1.00 0.98 0.99 65234
accuracy 0.98 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 0.98 0.99 65403
Accuracy: 0.9757350580248613
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.49 0.49 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.9777958299485513
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.98 0.99 5686
accuracy 0.98 5704
macro avg 0.50 0.49 0.49 5704
weighted avg 0.99 0.98 0.98 5704
Accuracy: 0.9751051893408135
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.97 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.77 0.50 0.36 49785283
weighted avg 0.74 0.56 0.41 49785283
Accuracy: 0.5640411846207644
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.79 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.70 0.50 0.38 44863141
weighted avg 0.68 0.62 0.47 44863141
Accuracy: 0.6188776661892667
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.97 0.00 0.01 4164787
accuracy 0.07 4452351
macro avg 0.52 0.50 0.06 4452351
weighted avg 0.91 0.07 0.01 4452351
Accuracy: 0.06797846800488101
10-20%
precision recall f1-score support
0 0.01 0.98 0.02 2455
1 0.99 0.02 0.04 257616
accuracy 0.03 260071
macro avg 0.50 0.50 0.03 260071
weighted avg 0.98 0.03 0.04 260071
Accuracy: 0.029099745838636372
20-40%
precision recall f1-score support
0 0.00 0.97 0.01 659
1 0.99 0.02 0.05 130568
accuracy 0.03 131227
macro avg 0.50 0.50 0.03 131227
weighted avg 0.99 0.03 0.05 131227
Accuracy: 0.028248759782666676
40-80%
precision recall f1-score support
0 0.00 0.98 0.01 169
1 1.00 0.03 0.05 65234
accuracy 0.03 65403
macro avg 0.50 0.50 0.03 65403
weighted avg 1.00 0.03 0.05 65403
Accuracy: 0.027766310413895386
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.03 0.05 7371
accuracy 0.03 7386
macro avg 0.50 0.51 0.03 7386
weighted avg 1.00 0.03 0.05 7386
Accuracy: 0.028973734091524504
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.03 0.06 5686
accuracy 0.03 5704
macro avg 0.50 0.51 0.03 5704
weighted avg 1.00 0.03 0.06 5704
Accuracy: 0.032433380084151475
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.57 0.69 26119367
1 0.64 0.92 0.75 21615229
accuracy 0.73 47734596
macro avg 0.76 0.74 0.72 47734596
weighted avg 0.78 0.73 0.72 47734596
Accuracy: 0.726402628399746
0-1%
precision recall f1-score support
0 0.97 0.93 0.95 12053010
1 0.17 0.36 0.23 508421
accuracy 0.90 12561431
macro avg 0.57 0.64 0.59 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.9026870425829668
1-10%
precision recall f1-score support
0 0.72 0.28 0.40 13368467
1 0.57 0.90 0.70 14466820
accuracy 0.60 27835287
macro avg 0.65 0.59 0.55 27835287
weighted avg 0.64 0.60 0.56 27835287
Accuracy: 0.6006632157232652
10-20%
precision recall f1-score support
0 0.20 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.54 0.50 0.48 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8658328361999147
20-40%
precision recall f1-score support
0 0.17 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.55 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9282279300424522
40-80%
precision recall f1-score support
0 0.23 0.01 0.02 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9615686841879202
80-90%
precision recall f1-score support
0 0.28 0.01 0.02 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.63 0.51 0.50 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9746041471830759
90-100%
precision recall f1-score support
0 0.33 0.01 0.03 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.65 0.51 0.51 99395
weighted avg 0.96 0.98 0.97 99395
Accuracy: 0.9762362291865788
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.746851926849868
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7468519059007015
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.55 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464397806269047
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.55 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464397806269047
1-10%
precision recall f1-score support
0 0.80 0.75 0.77 25421477
1 0.62 0.68 0.65 14975241
accuracy 0.72 40396718
macro avg 0.71 0.72 0.71 40396718
weighted avg 0.73 0.72 0.73 40396718
Accuracy: 0.7245034113909947
precision recall f1-score support
0 0.63 0.54 0.58 13368467
1 0.62 0.70 0.66 14466820
accuracy 0.62 27835287
macro avg 0.62 0.62 0.62 27835287
weighted avg 0.62 0.62 0.62 27835287
Accuracy: 0.6243486190747737
10-20%
precision recall f1-score support
0 0.16 0.08 0.11 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.52 0.51 0.51 3890639
weighted avg 0.78 0.82 0.80 3890639
Accuracy: 0.8239335492190357
20-40%
precision recall f1-score support
0 0.79 0.73 0.76 26072330
1 0.69 0.75 0.72 20332940
accuracy 0.74 46405270
macro avg 0.74 0.74 0.74 46405270
weighted avg 0.75 0.74 0.74 46405270
Accuracy: 0.7409957963826092
precision recall f1-score support
0 0.10 0.05 0.06 147488
1 0.93 0.97 0.95 1970425
accuracy 0.90 2117913
macro avg 0.51 0.51 0.51 2117913
weighted avg 0.87 0.90 0.89 2117913
Accuracy: 0.9032108495485887
40-80%
precision recall f1-score support
0 0.79 0.73 0.76 26113946
1 0.70 0.76 0.73 21397219
accuracy 0.75 47511165
macro avg 0.74 0.75 0.74 47511165
weighted avg 0.75 0.75 0.75 47511165
Accuracy: 0.745816988491021
precision recall f1-score support
0 0.07 0.03 0.05 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9481225613643248
80-90%
precision recall f1-score support
0 0.08 0.03 0.05 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.53 0.51 0.52 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9656631945564191
90-100%
precision recall f1-score support
0 0.08 0.03 0.05 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.53 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9684893606318226
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.52 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.700898421765212
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9553822331229619
1-10%
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5939834211157945
10-20%
precision recall f1-score support
0 0.15 0.38 0.22 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.642648675448943
20-40%
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.72 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6911435927726965
40-80%
precision recall f1-score support
0 0.05 0.33 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.72 0.81 1105895
Accuracy: 0.7189886924165495
80-90%
precision recall f1-score support
0 0.03 0.34 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.72946563900803
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.83 99395
Accuracy: 0.7317671915086272
Treshold: 0.7
All
precision recall f1-score support
0 0.57 0.97 0.72 26119367
1 0.78 0.12 0.20 21615229
accuracy 0.58 47734596
macro avg 0.68 0.54 0.46 47734596
weighted avg 0.67 0.58 0.48 47734596
Accuracy: 0.5848202842232079
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9593859170981396
1-10%
precision recall f1-score support
0 0.49 0.96 0.65 13368467
1 0.68 0.09 0.15 14466820
accuracy 0.50 27835287
macro avg 0.59 0.52 0.40 27835287
weighted avg 0.59 0.50 0.39 27835287
Accuracy: 0.5038834699279372
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.29 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.78 0.26 0.28 3890639
Accuracy: 0.2615213079393899
20-40%
precision recall f1-score support
0 0.07 0.82 0.13 147488
1 0.94 0.20 0.33 1970425
accuracy 0.24 2117913
macro avg 0.50 0.51 0.23 2117913
weighted avg 0.88 0.24 0.31 2117913
Accuracy: 0.24195186487830236
40-80%
precision recall f1-score support
0 0.04 0.82 0.07 41616
1 0.97 0.21 0.35 1064279
accuracy 0.23 1105895
macro avg 0.50 0.51 0.21 1105895
weighted avg 0.93 0.23 0.34 1105895
Accuracy: 0.23316408881494174
80-90%
precision recall f1-score support
0 0.03 0.82 0.05 3093
1 0.98 0.22 0.35 120943
accuracy 0.23 124036
macro avg 0.50 0.52 0.20 124036
weighted avg 0.96 0.23 0.35 124036
Accuracy: 0.2311022606340095
90-100%
precision recall f1-score support
0 0.02 0.81 0.05 2328
1 0.98 0.21 0.35 97067
accuracy 0.23 99395
macro avg 0.50 0.51 0.20 99395
weighted avg 0.96 0.23 0.34 99395
Accuracy: 0.2285929875748277
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.47 0.60 24893266
1 0.58 0.89 0.70 20563095
accuracy 0.66 45456361
macro avg 0.71 0.68 0.65 45456361
weighted avg 0.72 0.66 0.65 45456361
Accuracy: 0.6619679916744765
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9494417279810131
1-10%
precision recall f1-score support
0 0.86 0.39 0.54 16949103
1 0.40 0.87 0.55 8016772
accuracy 0.55 24965875
macro avg 0.63 0.63 0.54 24965875
weighted avg 0.72 0.55 0.54 24965875
Accuracy: 0.5450460678826599
10-20%
precision recall f1-score support
0 0.40 0.17 0.24 2057494
1 0.74 0.90 0.81 5461156
accuracy 0.70 7518650
macro avg 0.57 0.54 0.53 7518650
weighted avg 0.65 0.70 0.66 7518650
Accuracy: 0.7017706636164737
20-40%
precision recall f1-score support
0 0.23 0.15 0.18 744974
1 0.85 0.91 0.88 4060539
accuracy 0.79 4805513
macro avg 0.54 0.53 0.53 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7897995489763527
40-80%
precision recall f1-score support
0 0.13 0.14 0.14 235909
1 0.92 0.91 0.91 2483775
accuracy 0.84 2719684
macro avg 0.52 0.53 0.52 2719684
weighted avg 0.85 0.84 0.85 2719684
Accuracy: 0.8415613725712252
80-90%
precision recall f1-score support
0 0.09 0.14 0.11 18577
1 0.94 0.91 0.93 296772
accuracy 0.86 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.86 0.88 315349
Accuracy: 0.8618863544834453
90-100%
precision recall f1-score support
0 0.08 0.14 0.10 13620
1 0.95 0.91 0.93 240209
accuracy 0.87 253829
macro avg 0.51 0.52 0.51 253829
weighted avg 0.90 0.87 0.88 253829
Accuracy: 0.8663430892451217
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7002499386169517
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7002499166178304
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.52 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.75 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9884968839320294
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.52 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.75 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9884968839320294
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.48 0.71 0.57 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6567067647338617
precision recall f1-score support
0 0.87 0.71 0.78 21822692
1 0.47 0.71 0.57 8020644
accuracy 0.71 29843336
macro avg 0.67 0.71 0.68 29843336
weighted avg 0.76 0.71 0.73 29843336
Accuracy: 0.7109330203567055
10-20%
precision recall f1-score support
0 0.81 0.68 0.74 23880186
1 0.56 0.72 0.63 13481800
accuracy 0.70 37361986
macro avg 0.69 0.70 0.69 37361986
weighted avg 0.72 0.70 0.70 37361986
Accuracy: 0.6992318341963941
precision recall f1-score support
0 0.37 0.39 0.38 2057494
1 0.77 0.75 0.76 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.66 7518650
Accuracy: 0.6527870029859084
20-40%
precision recall f1-score support
0 0.78 0.68 0.72 24625160
1 0.62 0.73 0.67 17542339
accuracy 0.70 42167499
macro avg 0.70 0.70 0.70 42167499
weighted avg 0.71 0.70 0.70 42167499
Accuracy: 0.6987041370416586
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.75 0.81 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6946013880307889
40-80%
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.718435671202978
precision recall f1-score support
0 0.76 0.67 0.71 24861069
1 0.64 0.73 0.69 20026114
accuracy 0.70 44887183
macro avg 0.70 0.70 0.70 44887183
weighted avg 0.71 0.70 0.70 44887183
Accuracy: 0.6998996573253439
80-90%
precision recall f1-score support
0 0.08 0.36 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.726541070369654
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7295265710379822
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.10 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5476199029658357
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.40 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788819538670285
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.14 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.21 0.50 0.21 7518650
weighted avg 0.18 0.27 0.12 7518650
Accuracy: 0.2736398156583961
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.06 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.11 0.50 0.13 4805513
weighted avg 0.08 0.16 0.04 4805513
Accuracy: 0.15500780041589732
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.04 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.06 0.50 0.08 2719684
weighted avg 0.04 0.09 0.01 2719684
Accuracy: 0.08672331050224953
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05888713774262801
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.12 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.09 0.50 0.05 253829
weighted avg 0.12 0.05 0.01 253829
Accuracy: 0.05363453348514157
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6672436784464223
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9968670947529643
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.82 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6520494248525864
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.64 0.57 0.56 8856813
Accuracy: 0.5747507596694206
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.662631065626445
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7309125126555893
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7595617294000977
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.77 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.77 0.78 666440
Accuracy: 0.7651371466298541
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167014292512113
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167014292512113
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781145312360307
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632523064742397
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7950834216195631
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6613873410221035
20-40%
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466028196347007
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159584082320013
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5965481507950687
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5877663642239359
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.5866274533341336
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6772306819369699
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062348755142718
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6536064383430021
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5220212866278819
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44347376570781966
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4100220541436628
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.404223936138287
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.25 0.38 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.55 49785283
macro avg 0.66 0.59 0.51 49785283
weighted avg 0.68 0.55 0.50 49785283
Accuracy: 0.5474596579073377
0-1%
precision recall f1-score support
0 0.86 0.25 0.39 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.51 44863141
macro avg 0.65 0.59 0.49 44863141
weighted avg 0.70 0.51 0.46 44863141
Accuracy: 0.5101256730998839
1-10%
precision recall f1-score support
0 0.08 0.07 0.08 287564
1 0.94 0.94 0.94 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8830903044256844
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.96 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.95 260071
Accuracy: 0.9295000211480711
20-40%
precision recall f1-score support
0 0.01 0.07 0.01 659
1 1.00 0.94 0.97 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9348457253461558
40-80%
precision recall f1-score support
0 0.00 0.08 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.93 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.93 0.96 65403
Accuracy: 0.9344066785927251
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.94 0.97 7371
accuracy 0.93 7386
macro avg 0.50 0.50 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.934470620092066
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.94 0.96 5704
Accuracy: 0.9358345021037868
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284319203327617
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284318801602473
0-1%
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.6153508288686251
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615350784288599
1-10%
precision recall f1-score support
0 0.07 0.24 0.11 287564
1 0.94 0.78 0.85 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.80 4452351
Accuracy: 0.7450122418470602
precision recall f1-score support
0 0.75 0.52 0.61 28052152
1 0.55 0.77 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.63 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6270570513622779
10-20%
precision recall f1-score support
0 0.01 0.23 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.77 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.77 0.86 260071
Accuracy: 0.7707356837171387
20-40%
precision recall f1-score support
0 0.75 0.52 0.61 28055266
1 0.55 0.77 0.64 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.63 49706790
Accuracy: 0.6282000708555109
precision recall f1-score support
0 0.01 0.25 0.01 659
1 1.00 0.78 0.87 130568
accuracy 0.78 131227
macro avg 0.50 0.51 0.44 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7752672849337408
40-80%
precision recall f1-score support
0 0.74 0.52 0.61 28055435
1 0.55 0.77 0.64 21716758
accuracy 0.63 49772193
macro avg 0.65 0.64 0.63 49772193
weighted avg 0.66 0.63 0.63 49772193
Accuracy: 0.6283927855057542
precision recall f1-score support
0 0.00 0.23 0.01 169
1 1.00 0.78 0.87 65234
accuracy 0.77 65403
macro avg 0.50 0.50 0.44 65403
weighted avg 0.99 0.77 0.87 65403
Accuracy: 0.7748574224423956
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.77 0.87 7371
accuracy 0.77 7386
macro avg 0.50 0.52 0.44 7386
weighted avg 1.00 0.77 0.87 7386
Accuracy: 0.7695640400758191
90-100%
precision recall f1-score support
0 0.00 0.22 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.51 0.44 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7871669004207573
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.55 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6430582306823485
0-1%
precision recall f1-score support
0 0.71 0.76 0.73 27764588
1 0.56 0.49 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6566422756712464
1-10%
precision recall f1-score support
0 0.07 0.49 0.12 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.52 0.63 4452351
Accuracy: 0.5189997374420839
10-20%
precision recall f1-score support
0 0.01 0.48 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.68 260071
Accuracy: 0.5207539479603647
20-40%
precision recall f1-score support
0 0.01 0.51 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.52 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5218819297857911
40-80%
precision recall f1-score support
0 0.00 0.46 0.00 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.49 0.35 65403
weighted avg 0.99 0.52 0.69 65403
Accuracy: 0.5238750516031375
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.52 0.68 7371
accuracy 0.52 7386
macro avg 0.50 0.39 0.34 7386
weighted avg 1.00 0.52 0.68 7386
Accuracy: 0.5199025182778229
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.49 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.527875175315568
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.16 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.36 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5634782270897205
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188176837640503
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.38 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.22 0.50 0.06 4452351
weighted avg 0.36 0.06 0.01 4452351
Accuracy: 0.06457532211633808
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.44 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.22 0.50 0.01 260071
weighted avg 0.43 0.01 0.00 260071
Accuracy: 0.009432039712232429
20-40%
precision recall f1-score support
0 0.00 0.99 0.01 659
1 0.22 0.00 0.00 130568
accuracy 0.00 131227
macro avg 0.11 0.49 0.00 131227
weighted avg 0.22 0.00 0.00 131227
Accuracy: 0.00498373048229404
40-80%
precision recall f1-score support
0 0.00 0.98 0.01 169
1 0.20 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.10 0.49 0.00 65403
weighted avg 0.20 0.00 0.00 65403
Accuracy: 0.002538109872635812
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.18 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635278200587913
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.43 0.62 0.47 44863141
Accuracy: 0.6188712243754846
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.80 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.43 0.50 0.06 4452351
weighted avg 0.75 0.06 0.01 4452351
Accuracy: 0.06458767514061672
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009447420127580545
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.0025686895096555203
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.58 47734596
macro avg 0.67 0.61 0.54 47734596
weighted avg 0.69 0.58 0.53 47734596
Accuracy: 0.5754493449572716
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.07 0.90 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.46967403634187854
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.54 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.5508712735744381
10-20%
precision recall f1-score support
0 0.18 0.11 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8223826471692697
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.870333200655551
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.94 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8953264098309514
80-90%
precision recall f1-score support
0 0.04 0.13 0.06 3093
1 0.98 0.92 0.95 120943
accuracy 0.90 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.90 0.93 124036
Accuracy: 0.9049227643587345
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.50 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9068866643191308
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
1-10%
precision recall f1-score support
0 0.80 0.59 0.68 25421477
1 0.52 0.75 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6488780846008332
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5901192252840791
10-20%
precision recall f1-score support
0 0.77 0.58 0.66 25924842
1 0.56 0.76 0.64 18362515
accuracy 0.65 44287357
macro avg 0.67 0.67 0.65 44287357
weighted avg 0.68 0.65 0.66 44287357
Accuracy: 0.6537253058474454
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.70 0.74 3890639
Accuracy: 0.7040542697484912
20-40%
precision recall f1-score support
0 0.75 0.58 0.66 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.6570462578926919
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7264901816080264
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.60 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6589230131485936
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.75 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7376749148879415
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7408494308104099
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7421500075456512
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.75 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6659124966722249
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8967799926616641
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.589570138076895
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5598941459230733
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5607761036454283
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5608769367797124
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5600954561578897
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5594446400724382
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.94 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.60 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.60 0.52 47734596
Accuracy: 0.5954824463162943
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.15 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.60 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9565823352450847
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.17 0.27 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.46 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5243259033039609
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.31 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.79 0.27 0.30 3890639
Accuracy: 0.2688671449599924
20-40%
precision recall f1-score support
0 0.07 0.83 0.13 147488
1 0.94 0.19 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.30 2117913
Accuracy: 0.23132819903367136
40-80%
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.19 0.31 1064279
accuracy 0.21 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.21 0.30 1105895
Accuracy: 0.21072163270473238
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.19 0.32 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.31 124036
Accuracy: 0.204295527105034
90-100%
precision recall f1-score support
0 0.02 0.83 0.05 2328
1 0.98 0.19 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.31 99395
Accuracy: 0.2005634086221641
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789056306248
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.48027042077920734
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.5884104537096579
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7162039839990519
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.45034692355064665
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092624340805863
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8019239569219769
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8548073967416803
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8753159198221653
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8795212524967596
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
1-10%
precision recall f1-score support
0 0.83 0.54 0.65 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6124068553575631
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.6672417922714806
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666354673972631
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6642288176733855
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6712092410318193
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7067694957853615
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.7296358694613051
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747492708553352
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.7371737344973347
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.739911515232696
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853694909717916
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888593676095001
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6865130503136782
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5877176088792536
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5898589807165229
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5896339427668803
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5880690917047462
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5885773493178479
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6240705453742766
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988602676679527
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7087652245314855
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.40 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.41 7518650
Accuracy: 0.4141135709203115
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3480512902576686
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3115865666746578
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.29552337251743305
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2930319230663163
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.601860858556032
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667625592016511
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4739205090071918
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138872187998098
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609046030027698
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643621781509936
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079636674018048
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164515935418042
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993290318251818
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7609563728093933
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7318892445514089
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7035804326916338
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.611194116890579
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6925511505088479
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628296945043562
40-80%
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.706921723939412
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7251175480923412
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7289253346137686
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204605311528344
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359139233065453
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561279999927739
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6399417961435924
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6384820439521172
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.636448296107715
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6364804033371346
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6939022560539874
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9025836004473543
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646752054040206
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5521397890360823
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4870548905167451
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4594588594011338
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.53 666440
Accuracy: 0.4545510473561011
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.72 0.58 0.64 28055468
1 0.57 0.71 0.63 21729815
accuracy 0.64 49785283
macro avg 0.65 0.65 0.64 49785283
weighted avg 0.66 0.64 0.64 49785283
Accuracy: 0.6383161264745648
0-1%
precision recall f1-score support
0 0.77 0.58 0.66 27764588
1 0.51 0.71 0.60 17098553
accuracy 0.63 44863141
macro avg 0.64 0.65 0.63 44863141
weighted avg 0.67 0.63 0.64 44863141
Accuracy: 0.63147480021517
1-10%
precision recall f1-score support
0 0.07 0.29 0.11 287564
1 0.94 0.73 0.82 4164787
accuracy 0.70 4452351
macro avg 0.50 0.51 0.46 4452351
weighted avg 0.88 0.70 0.77 4452351
Accuracy: 0.6984876080075447
10-20%
precision recall f1-score support
0 0.01 0.28 0.02 2455
1 0.99 0.72 0.84 257616
accuracy 0.72 260071
macro avg 0.50 0.50 0.43 260071
weighted avg 0.98 0.72 0.83 260071
Accuracy: 0.7192766590661781
20-40%
precision recall f1-score support
0 0.01 0.30 0.01 659
1 1.00 0.73 0.84 130568
accuracy 0.72 131227
macro avg 0.50 0.51 0.43 131227
weighted avg 0.99 0.72 0.84 131227
Accuracy: 0.7240354500217181
40-80%
precision recall f1-score support
0 0.00 0.27 0.00 169
1 1.00 0.73 0.84 65234
accuracy 0.72 65403
macro avg 0.50 0.50 0.42 65403
weighted avg 0.99 0.72 0.84 65403
Accuracy: 0.7238811675305414
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.72 0.83 7371
accuracy 0.72 7386
macro avg 0.50 0.49 0.42 7386
weighted avg 1.00 0.72 0.83 7386
Accuracy: 0.7158137015976171
90-100%
precision recall f1-score support
0 0.00 0.28 0.01 18
1 1.00 0.74 0.85 5686
accuracy 0.73 5704
macro avg 0.50 0.51 0.43 5704
weighted avg 0.99 0.73 0.84 5704
Accuracy: 0.7340462833099579
Treshold: 0.5
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.18 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635253293628962
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.18 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635253293628962
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188683935438225
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188683935438225
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.69 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.38 0.50 0.06 4452351
weighted avg 0.65 0.06 0.01 4452351
Accuracy: 0.06458834894194102
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.17 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.37 0.50 0.36 49315492
weighted avg 0.40 0.57 0.41 49315492
Accuracy: 0.568826323379274
10-20%
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.18 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.37 0.50 0.36 49575563
weighted avg 0.40 0.57 0.41 49575563
Accuracy: 0.5658918689435761
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009451265231417575
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.18 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.37 0.50 0.36 49706790
weighted avg 0.40 0.56 0.41 49706790
Accuracy: 0.5644111800420023
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.18 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.37 0.50 0.36 49772193
weighted avg 0.40 0.56 0.41 49772193
Accuracy: 0.5636728725214097
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.49 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002553399691145666
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.19 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.38 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635285632503083
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.15 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.39 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.618872115976008
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 1.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.53 0.50 0.06 4452351
weighted avg 0.94 0.06 0.01 4452351
Accuracy: 0.0645874505401753
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009443575023743517
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.0025686895096555203
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.74 0.59 0.66 26119367
1 0.60 0.74 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6614790874107325
0-1%
precision recall f1-score support
0 0.98 0.80 0.88 12053010
1 0.12 0.68 0.21 508421
accuracy 0.79 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.79 0.85 12561431
Accuracy: 0.7906283129684827
1-10%
precision recall f1-score support
0 0.61 0.43 0.50 13368467
1 0.58 0.74 0.65 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5911734626626987
10-20%
precision recall f1-score support
0 0.16 0.32 0.21 503365
1 0.88 0.75 0.81 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.70 0.73 3890639
Accuracy: 0.6952585423628355
20-40%
precision recall f1-score support
0 0.09 0.32 0.14 147488
1 0.94 0.75 0.83 1970425
accuracy 0.72 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.72 0.78 2117913
Accuracy: 0.7162140276772464
40-80%
precision recall f1-score support
0 0.05 0.33 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7265644568426478
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7295946338159889
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.730942200311887
Treshold: 0.5
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.59 0.52 47734596
Accuracy: 0.5945489933548406
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.59 0.52 47734596
Accuracy: 0.5945489933548406
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9567321589395348
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9567321589395348
1-10%
precision recall f1-score support
0 0.66 0.95 0.78 25421477
1 0.65 0.17 0.26 14975241
accuracy 0.66 40396718
macro avg 0.66 0.56 0.52 40396718
weighted avg 0.66 0.66 0.59 40396718
Accuracy: 0.6581969604560449
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.17 0.27 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.46 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5234748253179499
10-20%
precision recall f1-score support
0 0.62 0.95 0.75 25924842
1 0.69 0.17 0.27 18362515
accuracy 0.62 44287357
macro avg 0.65 0.56 0.51 44287357
weighted avg 0.65 0.62 0.55 44287357
Accuracy: 0.6237390278223196
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.30 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.27 0.29 3890639
Accuracy: 0.2659604244958219
20-40%
precision recall f1-score support
0 0.59 0.95 0.73 26072330
1 0.71 0.17 0.27 20332940
accuracy 0.61 46405270
macro avg 0.65 0.56 0.50 46405270
weighted avg 0.64 0.61 0.53 46405270
Accuracy: 0.6056843543847499
precision recall f1-score support
0 0.07 0.84 0.13 147488
1 0.94 0.18 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.29 2117913
Accuracy: 0.22814582090954633
40-80%
precision recall f1-score support
0 0.58 0.95 0.72 26113946
1 0.72 0.17 0.28 21397219
accuracy 0.60 47511165
macro avg 0.65 0.56 0.50 47511165
weighted avg 0.64 0.60 0.52 47511165
Accuracy: 0.596408991444432
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.18 0.31 1064279
accuracy 0.21 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.21 0.30 1105895
Accuracy: 0.2071986942702517
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.18 0.31 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.30 124036
Accuracy: 0.20071592118417234
90-100%
precision recall f1-score support
0 0.02 0.84 0.05 2328
1 0.98 0.18 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.30 99395
Accuracy: 0.19693143518285627
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789056306248
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.48027042077920734
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.75 0.61 0.68 24893266
1 0.62 0.76 0.68 20563095
accuracy 0.68 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.69 0.68 0.68 45456361
Accuracy: 0.6774643707181047
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.01 0.70 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.98 4877461
Accuracy: 0.9533855831958472
1-10%
precision recall f1-score support
0 0.82 0.56 0.67 16949103
1 0.44 0.75 0.56 8016772
accuracy 0.62 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.62 0.63 24965875
Accuracy: 0.6193480500883706
10-20%
precision recall f1-score support
0 0.38 0.38 0.38 2057494
1 0.77 0.76 0.76 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6588577736694753
20-40%
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.76 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.73 4805513
Accuracy: 0.69850731857348
40-80%
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.7198354661791591
80-90%
precision recall f1-score support
0 0.08 0.37 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.7266235187046732
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7293335276899015
Treshold: 0.5
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6251611518132743
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6251611518132743
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.998844070716301
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.36 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.67 24965875
Accuracy: 0.7090933924807362
precision recall f1-score support
0 0.77 0.94 0.85 21822692
1 0.62 0.25 0.36 8020644
accuracy 0.76 29843336
macro avg 0.69 0.60 0.60 29843336
weighted avg 0.73 0.76 0.72 29843336
Accuracy: 0.7564489439116324
10-20%
precision recall f1-score support
0 0.69 0.93 0.79 23880186
1 0.68 0.26 0.37 13481800
accuracy 0.69 37361986
macro avg 0.68 0.59 0.58 37361986
weighted avg 0.69 0.69 0.64 37361986
Accuracy: 0.6879937003348805
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.27 0.40 5461156
accuracy 0.42 7518650
macro avg 0.54 0.54 0.42 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.41627832124118025
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3509681484578233
40-80%
precision recall f1-score support
0 0.09 0.78 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.40 2719684
Accuracy: 0.3149531342611862
precision recall f1-score support
0 0.61 0.93 0.73 24861069
1 0.74 0.26 0.39 20026114
accuracy 0.63 44887183
macro avg 0.67 0.59 0.56 44887183
weighted avg 0.67 0.63 0.58 44887183
Accuracy: 0.6293102866357196
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.27 0.42 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.2990432822047953
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.30 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.30 0.40 253829
Accuracy: 0.2965854965350689
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7087849543095344
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678318670121475
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299411537761946
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.662391521997274
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927951084906597
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7045262799544115
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.70716643658844
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836938219177728
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836938219177728
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159621840416375
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9057146246735943
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.35 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174771091671127
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6588971676380657
20-40%
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7405621469497821
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5332934754493425
40-80%
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6937903151982135
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45834395410239614
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.42651949102786124
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42095312406218116
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5743142528522117
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9005191179793278
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5725381127500377
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.3545426389408418
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21292073134417247
80-90%
precision recall f1-score support
0 0.15 0.99 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15357602758988173
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.82 0.14 0.05 666440
Accuracy: 0.14144108997059
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.39 0.53 28055468
1 0.52 0.86 0.65 21729815
accuracy 0.60 49785283
macro avg 0.65 0.63 0.59 49785283
weighted avg 0.67 0.60 0.58 49785283
Accuracy: 0.5978425592157426
0-1%
precision recall f1-score support
0 0.82 0.40 0.54 27764588
1 0.47 0.86 0.61 17098553
accuracy 0.57 44863141
macro avg 0.64 0.63 0.57 44863141
weighted avg 0.69 0.57 0.56 44863141
Accuracy: 0.5731476313707059
1-10%
precision recall f1-score support
0 0.07 0.15 0.10 287564
1 0.94 0.87 0.90 4164787
accuracy 0.82 4452351
macro avg 0.50 0.51 0.50 4452351
weighted avg 0.88 0.82 0.85 4452351
Accuracy: 0.8193314049139432
10-20%
precision recall f1-score support
0 0.01 0.15 0.02 2455
1 0.99 0.86 0.92 257616
accuracy 0.85 260071
macro avg 0.50 0.50 0.47 260071
weighted avg 0.98 0.85 0.91 260071
Accuracy: 0.8547627378677362
20-40%
precision recall f1-score support
0 0.01 0.16 0.01 659
1 1.00 0.86 0.92 130568
accuracy 0.86 131227
macro avg 0.50 0.51 0.47 131227
weighted avg 0.99 0.86 0.92 131227
Accuracy: 0.8597468508767251
40-80%
precision recall f1-score support
0 0.00 0.14 0.00 169
1 1.00 0.86 0.92 65234
accuracy 0.86 65403
macro avg 0.50 0.50 0.46 65403
weighted avg 0.99 0.86 0.92 65403
Accuracy: 0.8592113511612617
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.86 0.92 7371
accuracy 0.86 7386
macro avg 0.50 0.46 0.46 7386
weighted avg 1.00 0.86 0.92 7386
Accuracy: 0.8601408069320335
90-100%
precision recall f1-score support
0 0.00 0.06 0.00 18
1 1.00 0.87 0.93 5686
accuracy 0.87 5704
macro avg 0.50 0.46 0.47 5704
weighted avg 0.99 0.87 0.93 5704
Accuracy: 0.8657082748948106
Treshold: 0.5
All
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.63 0.37 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.61 49785283
Accuracy: 0.6311348877940495
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.63 0.37 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.61 49785283
Accuracy: 0.6311348877940495
0-1%
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.36 0.44 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.60 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6555909672040128
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.36 0.44 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.60 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6555909672040128
1-10%
precision recall f1-score support
0 0.07 0.62 0.12 287564
1 0.94 0.39 0.56 4164787
accuracy 0.41 4452351
macro avg 0.50 0.51 0.34 4452351
weighted avg 0.88 0.41 0.53 4452351
Accuracy: 0.4092141432694772
10-20%
precision recall f1-score support
0 0.63 0.84 0.72 28054607
1 0.63 0.37 0.46 21520956
accuracy 0.63 49575563
macro avg 0.63 0.60 0.59 49575563
weighted avg 0.63 0.63 0.61 49575563
Accuracy: 0.6321194173831167
precision recall f1-score support
0 0.01 0.60 0.02 2455
1 0.99 0.40 0.57 257616
accuracy 0.40 260071
macro avg 0.50 0.50 0.29 260071
weighted avg 0.98 0.40 0.56 260071
Accuracy: 0.39927942754094076
20-40%
precision recall f1-score support
0 0.63 0.84 0.72 28055266
1 0.63 0.37 0.46 21651524
accuracy 0.63 49706790
macro avg 0.63 0.60 0.59 49706790
weighted avg 0.63 0.63 0.61 49706790
Accuracy: 0.6314995396001231
precision recall f1-score support
0 0.01 0.64 0.01 659
1 1.00 0.40 0.57 130568
accuracy 0.40 131227
macro avg 0.50 0.52 0.29 131227
weighted avg 0.99 0.40 0.56 131227
Accuracy: 0.3973191492604418
40-80%
precision recall f1-score support
0 0.63 0.84 0.72 28055435
1 0.63 0.37 0.46 21716758
accuracy 0.63 49772193
macro avg 0.63 0.60 0.59 49772193
weighted avg 0.63 0.63 0.61 49772193
Accuracy: 0.6311969617251947
precision recall f1-score support
0 0.00 0.60 0.01 169
1 1.00 0.40 0.57 65234
accuracy 0.40 65403
macro avg 0.50 0.50 0.29 65403
weighted avg 0.99 0.40 0.57 65403
Accuracy: 0.4012354173355962
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.38 0.56 7371
accuracy 0.38 7386
macro avg 0.50 0.39 0.28 7386
weighted avg 0.99 0.38 0.55 7386
Accuracy: 0.38478202003790957
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.41 0.58 5686
accuracy 0.41 5704
macro avg 0.50 0.54 0.29 5704
weighted avg 0.99 0.41 0.58 5704
Accuracy: 0.40848527349228614
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.17 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5635248272064658
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.13 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.43 0.62 0.47 44863141
Accuracy: 0.6188678362934954
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.69 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.38 0.50 0.06 4452351
weighted avg 0.65 0.06 0.01 4452351
Accuracy: 0.06458834894194102
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009451265231417575
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.49 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002553399691145666
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.18 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635285230777939
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.15 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188720713959819
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 1.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.53 0.50 0.06 4452351
weighted avg 0.94 0.06 0.01 4452351
Accuracy: 0.0645874505401753
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009443575023743517
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.0025686895096555203
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.44 0.56 26119367
1 0.56 0.86 0.68 21615229
accuracy 0.63 47734596
macro avg 0.67 0.65 0.62 47734596
weighted avg 0.68 0.63 0.61 47734596
Accuracy: 0.6264125080266731
0-1%
precision recall f1-score support
0 0.99 0.64 0.77 12053010
1 0.09 0.82 0.16 508421
accuracy 0.64 12561431
macro avg 0.54 0.73 0.46 12561431
weighted avg 0.95 0.64 0.75 12561431
Accuracy: 0.642621927390279
1-10%
precision recall f1-score support
0 0.64 0.27 0.38 13368467
1 0.56 0.86 0.68 14466820
accuracy 0.57 27835287
macro avg 0.60 0.56 0.53 27835287
weighted avg 0.60 0.57 0.53 27835287
Accuracy: 0.5743047305386145
10-20%
precision recall f1-score support
0 0.18 0.20 0.19 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7756993131462466
20-40%
precision recall f1-score support
0 0.10 0.21 0.13 147488
1 0.94 0.86 0.89 1970425
accuracy 0.81 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.81 0.84 2117913
Accuracy: 0.8120234400563195
40-80%
precision recall f1-score support
0 0.05 0.21 0.09 41616
1 0.97 0.85 0.91 1064279
accuracy 0.83 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.83 0.88 1105895
Accuracy: 0.8305309274388617
80-90%
precision recall f1-score support
0 0.04 0.22 0.06 3093
1 0.98 0.85 0.91 120943
accuracy 0.84 124036
macro avg 0.51 0.54 0.49 124036
weighted avg 0.95 0.84 0.89 124036
Accuracy: 0.8363862104550291
90-100%
precision recall f1-score support
0 0.03 0.21 0.06 2328
1 0.98 0.85 0.91 97067
accuracy 0.84 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.84 0.89 99395
Accuracy: 0.8388450123245637
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618987620634728
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618987620634728
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9103169057729171
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9103169057729171
1-10%
precision recall f1-score support
0 0.73 0.79 0.76 25421477
1 0.59 0.51 0.55 14975241
accuracy 0.69 40396718
macro avg 0.66 0.65 0.65 40396718
weighted avg 0.68 0.69 0.68 40396718
Accuracy: 0.6866531583085537
precision recall f1-score support
0 0.56 0.66 0.61 13368467
1 0.62 0.51 0.56 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5857188036178682
10-20%
precision recall f1-score support
0 0.70 0.79 0.74 25924842
1 0.63 0.51 0.57 18362515
accuracy 0.67 44287357
macro avg 0.66 0.65 0.65 44287357
weighted avg 0.67 0.67 0.67 44287357
Accuracy: 0.6726740997436357
precision recall f1-score support
0 0.14 0.53 0.22 503365
1 0.88 0.53 0.66 3387274
accuracy 0.53 3890639
macro avg 0.51 0.53 0.44 3890639
weighted avg 0.79 0.53 0.60 3890639
Accuracy: 0.5275287684105362
20-40%
precision recall f1-score support
0 0.67 0.78 0.73 26072330
1 0.65 0.51 0.57 20332940
accuracy 0.67 46405270
macro avg 0.66 0.65 0.65 46405270
weighted avg 0.66 0.67 0.66 46405270
Accuracy: 0.6659040880486203
precision recall f1-score support
0 0.08 0.52 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.52 2117913
macro avg 0.51 0.52 0.40 2117913
weighted avg 0.88 0.52 0.63 2117913
Accuracy: 0.5243374019612703
40-80%
precision recall f1-score support
0 0.66 0.78 0.72 26113946
1 0.66 0.52 0.58 21397219
accuracy 0.66 47511165
macro avg 0.66 0.65 0.65 47511165
weighted avg 0.66 0.66 0.66 47511165
Accuracy: 0.662564746623241
precision recall f1-score support
0 0.04 0.53 0.08 41616
1 0.97 0.52 0.68 1064279
accuracy 0.52 1105895
macro avg 0.50 0.53 0.38 1105895
weighted avg 0.93 0.52 0.66 1105895
Accuracy: 0.5224401954977642
80-90%
precision recall f1-score support
0 0.03 0.54 0.05 3093
1 0.98 0.52 0.68 120943
accuracy 0.52 124036
macro avg 0.50 0.53 0.37 124036
weighted avg 0.95 0.52 0.66 124036
Accuracy: 0.5207762262568931
90-100%
precision recall f1-score support
0 0.03 0.52 0.05 2328
1 0.98 0.52 0.68 97067
accuracy 0.52 99395
macro avg 0.50 0.52 0.36 99395
weighted avg 0.96 0.52 0.66 99395
Accuracy: 0.5196639670003521
Treshold: 0.6
All
precision recall f1-score support
0 0.57 0.95 0.72 26119367
1 0.73 0.14 0.24 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.48 47734596
weighted avg 0.64 0.59 0.50 47734596
Accuracy: 0.5880570561443528
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.42 0.12 0.19 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.58 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9576468636415708
1-10%
precision recall f1-score support
0 0.50 0.93 0.65 13368467
1 0.67 0.14 0.23 14466820
accuracy 0.52 27835287
macro avg 0.58 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.517617260421996
10-20%
precision recall f1-score support
0 0.13 0.86 0.23 503365
1 0.88 0.15 0.26 3387274
accuracy 0.25 3890639
macro avg 0.51 0.51 0.25 3890639
weighted avg 0.79 0.25 0.26 3890639
Accuracy: 0.24608939559799817
20-40%
precision recall f1-score support
0 0.07 0.86 0.13 147488
1 0.94 0.16 0.27 1970425
accuracy 0.21 2117913
macro avg 0.50 0.51 0.20 2117913
weighted avg 0.88 0.21 0.26 2117913
Accuracy: 0.20524639114071258
40-80%
precision recall f1-score support
0 0.04 0.86 0.07 41616
1 0.97 0.16 0.27 1064279
accuracy 0.18 1105895
macro avg 0.50 0.51 0.17 1105895
weighted avg 0.93 0.18 0.26 1105895
Accuracy: 0.1828907807703263
80-90%
precision recall f1-score support
0 0.03 0.87 0.05 3093
1 0.98 0.16 0.27 120943
accuracy 0.18 124036
macro avg 0.50 0.51 0.16 124036
weighted avg 0.95 0.18 0.27 124036
Accuracy: 0.1754490631752072
90-100%
precision recall f1-score support
0 0.02 0.86 0.05 2328
1 0.98 0.16 0.27 97067
accuracy 0.17 99395
macro avg 0.50 0.51 0.16 99395
weighted avg 0.96 0.17 0.26 99395
Accuracy: 0.1717088384727602
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.46 0.59 24893266
1 0.57 0.85 0.68 20563095
accuracy 0.64 45456361
macro avg 0.68 0.66 0.63 45456361
weighted avg 0.69 0.64 0.63 45456361
Accuracy: 0.6407366176980159
0-1%
precision recall f1-score support
0 1.00 0.87 0.93 4873589
1 0.01 0.82 0.01 3872
accuracy 0.87 4877461
macro avg 0.50 0.84 0.47 4877461
weighted avg 1.00 0.87 0.93 4877461
Accuracy: 0.873001752346149
1-10%
precision recall f1-score support
0 0.85 0.39 0.53 16949103
1 0.40 0.85 0.54 8016772
accuracy 0.54 24965875
macro avg 0.62 0.62 0.54 24965875
weighted avg 0.70 0.54 0.53 24965875
Accuracy: 0.5362511428099356
10-20%
precision recall f1-score support
0 0.39 0.24 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6905540223311366
20-40%
precision recall f1-score support
0 0.23 0.23 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7597257566465848
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.89 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7988950186859944
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.90 296772
accuracy 0.81 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8133877069532486
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8170658199023753
Treshold: 0.5
All
precision recall f1-score support
0 0.69 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839020175856136
precision recall f1-score support
0 0.69 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839020175856136
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9915525721271785
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9915525721271785
1-10%
precision recall f1-score support
0 0.78 0.76 0.77 16949103
1 0.52 0.55 0.54 8016772
accuracy 0.70 24965875
macro avg 0.65 0.66 0.66 24965875
weighted avg 0.70 0.70 0.70 24965875
Accuracy: 0.6957728098854937
precision recall f1-score support
0 0.83 0.81 0.82 21822692
1 0.52 0.55 0.54 8020644
accuracy 0.74 29843336
macro avg 0.68 0.68 0.68 29843336
weighted avg 0.75 0.74 0.75 29843336
Accuracy: 0.7441137277682361
10-20%
precision recall f1-score support
0 0.76 0.79 0.78 23880186
1 0.61 0.56 0.58 13481800
accuracy 0.71 37361986
macro avg 0.68 0.68 0.68 37361986
weighted avg 0.71 0.71 0.71 37361986
Accuracy: 0.7097037614649285
precision recall f1-score support
0 0.33 0.57 0.42 2057494
1 0.78 0.58 0.66 5461156
accuracy 0.57 7518650
macro avg 0.56 0.57 0.54 7518650
weighted avg 0.66 0.57 0.60 7518650
Accuracy: 0.5731223025410147
20-40%
precision recall f1-score support
0 0.72 0.79 0.75 24625160
1 0.65 0.56 0.61 17542339
accuracy 0.69 42167499
macro avg 0.68 0.67 0.68 42167499
weighted avg 0.69 0.69 0.69 42167499
Accuracy: 0.6934430946450013
precision recall f1-score support
0 0.19 0.54 0.28 744974
1 0.87 0.57 0.69 4060539
accuracy 0.57 4805513
macro avg 0.53 0.56 0.48 4805513
weighted avg 0.77 0.57 0.63 4805513
Accuracy: 0.5670193796167027
40-80%
precision recall f1-score support
0 0.10 0.54 0.17 235909
1 0.93 0.56 0.70 2483775
accuracy 0.56 2719684
macro avg 0.52 0.55 0.44 2719684
weighted avg 0.86 0.56 0.66 2719684
Accuracy: 0.5621708257282831
precision recall f1-score support
0 0.69 0.78 0.73 24861069
1 0.68 0.56 0.62 20026114
accuracy 0.69 44887183
macro avg 0.68 0.67 0.67 44887183
weighted avg 0.68 0.69 0.68 44887183
Accuracy: 0.6854893968284889
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.56 0.71 296772
accuracy 0.56 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.56 0.67 315349
Accuracy: 0.558945802904084
90-100%
precision recall f1-score support
0 0.06 0.54 0.12 13620
1 0.96 0.56 0.71 240209
accuracy 0.56 253829
macro avg 0.51 0.55 0.41 253829
weighted avg 0.91 0.56 0.67 253829
Accuracy: 0.5584310697359246
Treshold: 0.6
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.25 0.37 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.55 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6216106256283912
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.20 0.22 3872
accuracy 1.00 4877461
macro avg 0.62 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988446857904143
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.24 0.34 8016772
accuracy 0.71 24965875
macro avg 0.67 0.58 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7080150805849985
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.38 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.4092493998257666
20-40%
precision recall f1-score support
0 0.16 0.80 0.27 744974
1 0.87 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.34 0.38 4805513
Accuracy: 0.34143389061688106
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.26 0.40 2483775
accuracy 0.30 2719684
macro avg 0.51 0.53 0.28 2719684
weighted avg 0.86 0.30 0.38 2719684
Accuracy: 0.3041665870005486
80-90%
precision recall f1-score support
0 0.06 0.80 0.12 18577
1 0.95 0.26 0.40 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.39 315349
Accuracy: 0.28787470389948916
90-100%
precision recall f1-score support
0 0.06 0.80 0.11 13620
1 0.96 0.26 0.40 240209
accuracy 0.28 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.28 0.39 253829
Accuracy: 0.2849516800680773
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.06 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.30 0.50 0.35 45456361
weighted avg 0.33 0.55 0.39 45456361
Accuracy: 0.5476293185897569
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992010187267515
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.14 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.41 0.50 0.40 24965875
weighted avg 0.51 0.68 0.55 24965875
Accuracy: 0.6788906056767487
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.50 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.39 0.50 0.21 7518650
weighted avg 0.44 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476298685677896
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992051192208405
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299565642749
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.81 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6673967290791997
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9968819334722151
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.81 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6524680328554966
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.65 0.57 0.56 8856813
Accuracy: 0.5749337826145816
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626321147226312
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7307995950211422
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7594124815598743
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.76 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7649855951023348
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166955514583285
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166955514583285
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781296772531015
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632692993944856
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7950931543004521
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6613883571889798
20-40%
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466045232766549
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159384754044644
40-80%
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217297276639385
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5965116232902546
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5877367613465362
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.586579437008583
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6773988324169804
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062214227857438
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6537480242610971
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5223078064529441
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.4438660393464753
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4104500624127332
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.40464257847668206
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.67 0.74 28055468
1 0.65 0.81 0.72 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.730444898746483
0-1%
precision recall f1-score support
0 0.82 0.67 0.74 27764588
1 0.59 0.77 0.67 17098553
accuracy 0.71 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.73 0.71 0.71 44863141
Accuracy: 0.7080572222974758
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9287068786804994
10-20%
precision recall f1-score support
0 0.01 0.00 0.00 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.987995585820795
20-40%
precision recall f1-score support
0 0.01 0.00 0.01 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.991457550656496
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 0.99 1.00 65234
accuracy 0.99 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 0.99 0.99 65403
Accuracy: 0.9909025579866367
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.99 1.00 7371
accuracy 0.99 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9905226103438939
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.50 0.49 0.50 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9865007012622721
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.90 0.77 28055468
1 0.77 0.45 0.57 21729815
accuracy 0.70 49785283
macro avg 0.73 0.67 0.67 49785283
weighted avg 0.72 0.70 0.68 49785283
Accuracy: 0.7030010254235173
precision recall f1-score support
0 0.68 0.90 0.77 28055468
1 0.77 0.45 0.57 21729815
accuracy 0.70 49785283
macro avg 0.73 0.67 0.67 49785283
weighted avg 0.72 0.70 0.68 49785283
Accuracy: 0.7030010455097745
0-1%
precision recall f1-score support
0 0.69 0.90 0.78 27764588
1 0.69 0.34 0.45 17098553
accuracy 0.69 44863141
macro avg 0.69 0.62 0.62 44863141
weighted avg 0.69 0.69 0.66 44863141
Accuracy: 0.689385680775227
precision recall f1-score support
0 0.69 0.90 0.78 27764588
1 0.69 0.34 0.45 17098553
accuracy 0.69 44863141
macro avg 0.69 0.62 0.62 44863141
weighted avg 0.69 0.69 0.66 44863141
Accuracy: 0.689385680775227
1-10%
precision recall f1-score support
0 0.08 0.18 0.11 287564
1 0.94 0.86 0.90 4164787
accuracy 0.82 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.82 0.85 4452351
Accuracy: 0.8183328313513467
precision recall f1-score support
0 0.68 0.90 0.77 28052152
1 0.77 0.44 0.56 21263340
accuracy 0.70 49315492
macro avg 0.72 0.67 0.67 49315492
weighted avg 0.72 0.70 0.68 49315492
Accuracy: 0.7010273972324964
10-20%
precision recall f1-score support
0 0.68 0.90 0.77 28054607
1 0.77 0.45 0.57 21520956
accuracy 0.70 49575563
macro avg 0.72 0.67 0.67 49575563
weighted avg 0.72 0.70 0.68 49575563
Accuracy: 0.7022238153906593
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.96 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.95 260071
Accuracy: 0.9290924401413461
20-40%
precision recall f1-score support
0 0.68 0.90 0.77 28055266
1 0.77 0.45 0.57 21651524
accuracy 0.70 49706790
macro avg 0.73 0.67 0.67 49706790
weighted avg 0.72 0.70 0.68 49706790
Accuracy: 0.7027602868742882
precision recall f1-score support
0 0.01 0.12 0.01 659
1 1.00 0.91 0.95 130568
accuracy 0.91 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.91 0.95 131227
Accuracy: 0.9054386673474208
40-80%
precision recall f1-score support
0 0.68 0.90 0.77 28055435
1 0.77 0.45 0.57 21716758
accuracy 0.70 49772193
macro avg 0.73 0.67 0.67 49772193
weighted avg 0.72 0.70 0.68 49772193
Accuracy: 0.702966754950902
precision recall f1-score support
0 0.00 0.20 0.01 169
1 1.00 0.86 0.92 65234
accuracy 0.86 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.86 0.92 65403
Accuracy: 0.8598841031756953
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.83 0.91 7371
accuracy 0.83 7386
macro avg 0.50 0.48 0.46 7386
weighted avg 1.00 0.83 0.91 7386
Accuracy: 0.8323855943677227
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.84 0.91 5686
accuracy 0.83 5704
macro avg 0.50 0.58 0.46 5704
weighted avg 0.99 0.83 0.91 5704
Accuracy: 0.8343267882187938
Treshold: 0.6
All
precision recall f1-score support
0 0.61 0.98 0.75 28055468
1 0.88 0.19 0.32 21729815
accuracy 0.64 49785283
macro avg 0.74 0.59 0.54 49785283
weighted avg 0.73 0.64 0.56 49785283
Accuracy: 0.6364741162564045
0-1%
precision recall f1-score support
0 0.63 0.98 0.77 27764588
1 0.76 0.08 0.14 17098553
accuracy 0.64 44863141
macro avg 0.70 0.53 0.46 44863141
weighted avg 0.68 0.64 0.53 44863141
Accuracy: 0.6395564010999587
1-10%
precision recall f1-score support
0 0.08 0.47 0.13 287564
1 0.94 0.60 0.73 4164787
accuracy 0.59 4452351
macro avg 0.51 0.54 0.43 4452351
weighted avg 0.89 0.59 0.70 4452351
Accuracy: 0.5933269861248586
10-20%
precision recall f1-score support
0 0.01 0.19 0.02 2455
1 0.99 0.81 0.89 257616
accuracy 0.81 260071
macro avg 0.50 0.50 0.46 260071
weighted avg 0.98 0.81 0.88 260071
Accuracy: 0.8064028669094209
20-40%
precision recall f1-score support
0 0.01 0.29 0.01 659
1 1.00 0.73 0.85 130568
accuracy 0.73 131227
macro avg 0.50 0.51 0.43 131227
weighted avg 0.99 0.73 0.84 131227
Accuracy: 0.732509315918218
40-80%
precision recall f1-score support
0 0.00 0.41 0.01 169
1 1.00 0.61 0.76 65234
accuracy 0.61 65403
macro avg 0.50 0.51 0.38 65403
weighted avg 0.99 0.61 0.76 65403
Accuracy: 0.612907664786019
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.53 0.69 7371
accuracy 0.53 7386
macro avg 0.50 0.43 0.35 7386
weighted avg 1.00 0.53 0.69 7386
Accuracy: 0.5258597346330897
90-100%
precision recall f1-score support
0 0.00 0.50 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.51 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.5291023842917251
Treshold: 0.7
All
precision recall f1-score support
0 0.58 1.00 0.73 28055468
1 0.94 0.07 0.13 21729815
accuracy 0.59 49785283
macro avg 0.76 0.53 0.43 49785283
weighted avg 0.74 0.59 0.47 49785283
Accuracy: 0.5915591762328638
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.79 0.01 0.01 17098553
accuracy 0.62 44863141
macro avg 0.70 0.50 0.39 44863141
weighted avg 0.68 0.62 0.48 44863141
Accuracy: 0.6205877559932774
1-10%
precision recall f1-score support
0 0.07 0.80 0.13 287564
1 0.95 0.28 0.44 4164787
accuracy 0.32 4452351
macro avg 0.51 0.54 0.28 4452351
weighted avg 0.90 0.32 0.42 4452351
Accuracy: 0.3166715741863119
10-20%
precision recall f1-score support
0 0.01 0.44 0.02 2455
1 0.99 0.55 0.71 257616
accuracy 0.55 260071
macro avg 0.50 0.50 0.36 260071
weighted avg 0.98 0.55 0.70 260071
Accuracy: 0.5490539122008989
20-40%
precision recall f1-score support
0 0.00 0.61 0.01 659
1 0.99 0.36 0.53 130568
accuracy 0.36 131227
macro avg 0.50 0.49 0.27 131227
weighted avg 0.99 0.36 0.53 131227
Accuracy: 0.36371326022845907
40-80%
precision recall f1-score support
0 0.00 0.82 0.00 169
1 1.00 0.13 0.23 65234
accuracy 0.13 65403
macro avg 0.50 0.48 0.12 65403
weighted avg 0.99 0.13 0.23 65403
Accuracy: 0.1306209195296852
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.03 0.06 7371
accuracy 0.03 7386
macro avg 0.50 0.52 0.03 7386
weighted avg 1.00 0.03 0.06 7386
Accuracy: 0.034930950446791224
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.03 0.05 5686
accuracy 0.03 5704
macro avg 0.50 0.51 0.03 5704
weighted avg 1.00 0.03 0.05 5704
Accuracy: 0.029628330995792426
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 28055468
1 0.95 0.03 0.06 21729815
accuracy 0.58 49785283
macro avg 0.76 0.51 0.39 49785283
weighted avg 0.74 0.58 0.43 49785283
Accuracy: 0.5754383077424708
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.50 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.56 0.50 0.38 44863141
weighted avg 0.57 0.62 0.47 44863141
Accuracy: 0.618872896126466
1-10%
precision recall f1-score support
0 0.07 0.93 0.13 287564
1 0.96 0.13 0.23 4164787
accuracy 0.18 4452351
macro avg 0.51 0.53 0.18 4452351
weighted avg 0.90 0.18 0.22 4452351
Accuracy: 0.17925136630063532
10-20%
precision recall f1-score support
0 0.01 0.70 0.02 2455
1 0.99 0.29 0.45 257616
accuracy 0.29 260071
macro avg 0.50 0.50 0.23 260071
weighted avg 0.98 0.29 0.44 260071
Accuracy: 0.29103975452857106
20-40%
precision recall f1-score support
0 0.00 0.92 0.01 659
1 0.99 0.07 0.13 130568
accuracy 0.07 131227
macro avg 0.50 0.49 0.07 131227
weighted avg 0.99 0.07 0.13 131227
Accuracy: 0.07416156736037553
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 1.00 0.00 0.00 65403
Accuracy: 0.0035319480757763405
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.72 28055468
1 0.95 0.01 0.02 21729815
accuracy 0.57 49785283
macro avg 0.76 0.50 0.37 49785283
weighted avg 0.73 0.57 0.42 49785283
Accuracy: 0.5673120910048859
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.05 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.33 0.50 0.38 44863141
weighted avg 0.40 0.62 0.47 44863141
Accuracy: 0.6187671300143697
1-10%
precision recall f1-score support
0 0.07 0.98 0.12 287564
1 0.97 0.04 0.08 4164787
accuracy 0.10 4452351
macro avg 0.52 0.51 0.10 4452351
weighted avg 0.91 0.10 0.09 4452351
Accuracy: 0.10449378317208145
10-20%
precision recall f1-score support
0 0.01 0.94 0.02 2455
1 0.99 0.06 0.11 257616
accuracy 0.07 260071
macro avg 0.50 0.50 0.07 260071
weighted avg 0.98 0.07 0.11 260071
Accuracy: 0.0684812993374886
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005341888483315171
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.65 0.73 26119367
1 0.67 0.84 0.74 21615229
accuracy 0.74 47734596
macro avg 0.75 0.74 0.74 47734596
weighted avg 0.75 0.74 0.73 47734596
Accuracy: 0.7356280757042544
0-1%
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.22 0.13 508421
accuracy 0.89 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.89 0.91 12561431
Accuracy: 0.885352950631182
1-10%
precision recall f1-score support
0 0.67 0.45 0.54 13368467
1 0.61 0.80 0.69 14466820
accuracy 0.63 27835287
macro avg 0.64 0.62 0.61 27835287
weighted avg 0.64 0.63 0.62 27835287
Accuracy: 0.6286138526252666
10-20%
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.8509422231155345
20-40%
precision recall f1-score support
0 0.12 0.04 0.06 147488
1 0.93 0.98 0.95 1970425
accuracy 0.91 2117913
macro avg 0.53 0.51 0.51 2117913
weighted avg 0.88 0.91 0.89 2117913
Accuracy: 0.911348577585576
40-80%
precision recall f1-score support
0 0.07 0.05 0.06 41616
1 0.96 0.98 0.97 1064279
accuracy 0.94 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.94 0.94 1105895
Accuracy: 0.9421210874450106
80-90%
precision recall f1-score support
0 0.06 0.06 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.95 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.95 0.95 124036
Accuracy: 0.9534328743268083
90-100%
precision recall f1-score support
0 0.06 0.06 0.06 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9552693797474722
Treshold: 0.5
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.53 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.70 47734596
Accuracy: 0.7137907064301958
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.53 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.70 47734596
Accuracy: 0.7137907064301958
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.07 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9457716242679676
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.07 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9457716242679676
1-10%
precision recall f1-score support
0 0.72 0.88 0.79 25421477
1 0.67 0.41 0.50 14975241
accuracy 0.70 40396718
macro avg 0.69 0.64 0.65 40396718
weighted avg 0.70 0.70 0.68 40396718
Accuracy: 0.7044882458025427
precision recall f1-score support
0 0.56 0.79 0.65 13368467
1 0.68 0.42 0.52 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.58 27835287
weighted avg 0.62 0.60 0.58 27835287
Accuracy: 0.5956025529752935
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.7284883023071531
20-40%
precision recall f1-score support
0 0.69 0.87 0.77 26072330
1 0.75 0.51 0.61 20332940
accuracy 0.71 46405270
macro avg 0.72 0.69 0.69 46405270
weighted avg 0.72 0.71 0.70 46405270
Accuracy: 0.7106556863045943
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.84 0.88 1970425
accuracy 0.80 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.80 0.83 2117913
Accuracy: 0.7955336220137466
40-80%
precision recall f1-score support
0 0.69 0.86 0.77 26113946
1 0.76 0.53 0.62 21397219
accuracy 0.71 47511165
macro avg 0.73 0.70 0.70 47511165
weighted avg 0.72 0.71 0.70 47511165
Accuracy: 0.71325651560007
precision recall f1-score support
0 0.05 0.22 0.09 41616
1 0.97 0.85 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8223918183914386
80-90%
precision recall f1-score support
0 0.04 0.23 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.83 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.83 0.88 124036
Accuracy: 0.8269776516495211
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 2328
1 0.98 0.84 0.91 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.89 99395
Accuracy: 0.8278887267971226
Treshold: 0.6
All
precision recall f1-score support
0 0.61 0.95 0.74 26119367
1 0.83 0.26 0.39 21615229
accuracy 0.64 47734596
macro avg 0.72 0.61 0.57 47734596
weighted avg 0.71 0.64 0.58 47734596
Accuracy: 0.6390852454266084
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.22 0.02 0.04 508421
accuracy 0.96 12561431
macro avg 0.59 0.51 0.51 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9574953681630699
1-10%
precision recall f1-score support
0 0.50 0.94 0.65 13368467
1 0.71 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.61 0.54 0.45 27835287
weighted avg 0.61 0.52 0.44 27835287
Accuracy: 0.524072124709905
10-20%
precision recall f1-score support
0 0.14 0.60 0.23 503365
1 0.89 0.46 0.61 3387274
accuracy 0.48 3890639
macro avg 0.51 0.53 0.42 3890639
weighted avg 0.79 0.48 0.56 3890639
Accuracy: 0.4789030799310859
20-40%
precision recall f1-score support
0 0.08 0.47 0.13 147488
1 0.94 0.58 0.72 1970425
accuracy 0.58 2117913
macro avg 0.51 0.53 0.43 2117913
weighted avg 0.88 0.58 0.68 2117913
Accuracy: 0.5766459717656013
40-80%
precision recall f1-score support
0 0.04 0.44 0.08 41616
1 0.97 0.61 0.75 1064279
accuracy 0.61 1105895
macro avg 0.50 0.53 0.41 1105895
weighted avg 0.93 0.61 0.73 1105895
Accuracy: 0.6071516735313931
80-90%
precision recall f1-score support
0 0.03 0.45 0.05 3093
1 0.98 0.61 0.75 120943
accuracy 0.61 124036
macro avg 0.50 0.53 0.40 124036
weighted avg 0.95 0.61 0.73 124036
Accuracy: 0.6069689444999838
90-100%
precision recall f1-score support
0 0.03 0.44 0.05 2328
1 0.98 0.61 0.75 97067
accuracy 0.60 99395
macro avg 0.50 0.52 0.40 99395
weighted avg 0.96 0.60 0.73 99395
Accuracy: 0.6037426429900901
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.92 0.01 0.01 21615229
accuracy 0.55 47734596
macro avg 0.74 0.50 0.36 47734596
weighted avg 0.72 0.55 0.39 47734596
Accuracy: 0.5498496310726082
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.959470620823376
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.80 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.64 0.50 0.32 27835287
weighted avg 0.64 0.48 0.31 27835287
Accuracy: 0.4803568937514458
10-20%
precision recall f1-score support
0 0.13 0.99 0.23 503365
1 0.89 0.01 0.02 3387274
accuracy 0.14 3890639
macro avg 0.51 0.50 0.12 3890639
weighted avg 0.79 0.14 0.05 3890639
Accuracy: 0.13679475273856043
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.93 0.03 0.07 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.10 2117913
weighted avg 0.87 0.10 0.07 2117913
Accuracy: 0.09932844266974139
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.96 0.03 0.06 1064279
accuracy 0.07 1105895
macro avg 0.50 0.50 0.07 1105895
weighted avg 0.93 0.07 0.06 1105895
Accuracy: 0.06571781226970011
80-90%
precision recall f1-score support
0 0.02 0.99 0.05 3093
1 0.98 0.02 0.03 120943
accuracy 0.04 124036
macro avg 0.50 0.50 0.04 124036
weighted avg 0.95 0.04 0.03 124036
Accuracy: 0.03958528169241188
90-100%
precision recall f1-score support
0 0.02 0.99 0.05 2328
1 0.98 0.01 0.02 97067
accuracy 0.04 99395
macro avg 0.50 0.50 0.03 99395
weighted avg 0.96 0.04 0.02 99395
Accuracy: 0.03500176065194426
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.54716734169071
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9594810495715018
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471700231840236
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9594912394933348
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.66 0.73 24893266
1 0.67 0.83 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7379611183570106
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.00 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.54 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9820178982466492
1-10%
precision recall f1-score support
0 0.81 0.66 0.73 16949103
1 0.48 0.67 0.56 8016772
accuracy 0.66 24965875
macro avg 0.64 0.66 0.64 24965875
weighted avg 0.70 0.66 0.67 24965875
Accuracy: 0.6632250622099165
10-20%
precision recall f1-score support
0 0.42 0.14 0.21 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.52 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7110175363928365
20-40%
precision recall f1-score support
0 0.25 0.09 0.13 744974
1 0.85 0.95 0.90 4060539
accuracy 0.82 4805513
macro avg 0.55 0.52 0.51 4805513
weighted avg 0.76 0.82 0.78 4805513
Accuracy: 0.8179832205219297
40-80%
precision recall f1-score support
0 0.16 0.08 0.11 235909
1 0.92 0.96 0.94 2483775
accuracy 0.88 2719684
macro avg 0.54 0.52 0.52 2719684
weighted avg 0.85 0.88 0.87 2719684
Accuracy: 0.8831095818484794
80-90%
precision recall f1-score support
0 0.11 0.08 0.09 18577
1 0.94 0.96 0.95 296772
accuracy 0.91 315349
macro avg 0.53 0.52 0.52 315349
weighted avg 0.89 0.91 0.90 315349
Accuracy: 0.9094083063526442
90-100%
precision recall f1-score support
0 0.10 0.08 0.09 13620
1 0.95 0.96 0.95 240209
accuracy 0.91 253829
macro avg 0.53 0.52 0.52 253829
weighted avg 0.90 0.91 0.91 253829
Accuracy: 0.9139932789397587
Treshold: 0.5
All
precision recall f1-score support
0 0.69 0.86 0.77 24893266
1 0.77 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7155266124360461
precision recall f1-score support
0 0.69 0.86 0.77 24893266
1 0.77 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7155266124360461
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.04 0.02 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9976573877269341
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.04 0.02 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9976573877269341
1-10%
precision recall f1-score support
0 0.72 0.90 0.80 16949103
1 0.56 0.28 0.37 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.66 24965875
Accuracy: 0.6972085696976372
precision recall f1-score support
0 0.78 0.92 0.84 21822692
1 0.56 0.28 0.37 8020644
accuracy 0.75 29843336
macro avg 0.67 0.60 0.61 29843336
weighted avg 0.72 0.75 0.71 29843336
Accuracy: 0.7463125771193945
10-20%
precision recall f1-score support
0 0.73 0.89 0.80 23880186
1 0.67 0.41 0.51 13481800
accuracy 0.72 37361986
macro avg 0.70 0.65 0.66 37361986
weighted avg 0.71 0.72 0.70 37361986
Accuracy: 0.7150326002477492
precision recall f1-score support
0 0.34 0.53 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.590874824602821
20-40%
precision recall f1-score support
0 0.71 0.87 0.78 24625160
1 0.73 0.49 0.59 17542339
accuracy 0.71 42167499
macro avg 0.72 0.68 0.68 42167499
weighted avg 0.72 0.71 0.70 42167499
Accuracy: 0.7124445772797671
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.57 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6923231713242686
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.80 2719684
Accuracy: 0.7508894415674762
precision recall f1-score support
0 0.69 0.86 0.77 24861069
1 0.76 0.53 0.62 20026114
accuracy 0.71 44887183
macro avg 0.73 0.70 0.70 44887183
weighted avg 0.72 0.71 0.70 44887183
Accuracy: 0.7147739255546511
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.83 315349
Accuracy: 0.7722935541257464
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.778106520531539
Treshold: 0.6
All
precision recall f1-score support
0 0.61 0.95 0.74 24893266
1 0.82 0.27 0.41 20563095
accuracy 0.64 45456361
macro avg 0.71 0.61 0.58 45456361
weighted avg 0.70 0.64 0.59 45456361
Accuracy: 0.6433317660426007
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.01 0.02 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9990613969030199
1-10%
precision recall f1-score support
0 0.69 0.97 0.81 16949103
1 0.60 0.10 0.17 8016772
accuracy 0.69 24965875
macro avg 0.65 0.53 0.49 24965875
weighted avg 0.66 0.69 0.60 24965875
Accuracy: 0.6898538905606152
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.39 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.40979590750999184
20-40%
precision recall f1-score support
0 0.18 0.66 0.28 744974
1 0.88 0.44 0.58 4060539
accuracy 0.47 4805513
macro avg 0.53 0.55 0.43 4805513
weighted avg 0.77 0.47 0.54 4805513
Accuracy: 0.47243322409074745
40-80%
precision recall f1-score support
0 0.10 0.57 0.18 235909
1 0.93 0.54 0.68 2483775
accuracy 0.54 2719684
macro avg 0.52 0.55 0.43 2719684
weighted avg 0.86 0.54 0.64 2719684
Accuracy: 0.5416662376952617
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.57 0.71 296772
accuracy 0.57 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.57 0.68 315349
Accuracy: 0.5660331886259351
90-100%
precision recall f1-score support
0 0.07 0.53 0.12 13620
1 0.96 0.57 0.72 240209
accuracy 0.57 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.57 0.68 253829
Accuracy: 0.5703721796957795
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.85 0.01 0.01 20563095
accuracy 0.55 45456361
macro avg 0.70 0.50 0.36 45456361
weighted avg 0.69 0.55 0.39 45456361
Accuracy: 0.5496577695693678
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992057342949539
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.57 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.62 0.50 0.41 24965875
weighted avg 0.64 0.68 0.55 24965875
Accuracy: 0.678973919399981
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.78 0.00 0.01 5461156
accuracy 0.28 7518650
macro avg 0.53 0.50 0.22 7518650
weighted avg 0.64 0.28 0.12 7518650
Accuracy: 0.27544559196132284
20-40%
precision recall f1-score support
0 0.16 0.99 0.27 744974
1 0.88 0.01 0.02 4060539
accuracy 0.16 4805513
macro avg 0.52 0.50 0.14 4805513
weighted avg 0.76 0.16 0.05 4805513
Accuracy: 0.1605220920222253
40-80%
precision recall f1-score support
0 0.09 0.99 0.16 235909
1 0.94 0.02 0.03 2483775
accuracy 0.10 2719684
macro avg 0.51 0.50 0.10 2719684
weighted avg 0.86 0.10 0.04 2719684
Accuracy: 0.10034474593371877
80-90%
precision recall f1-score support
0 0.06 0.98 0.11 18577
1 0.95 0.02 0.05 296772
accuracy 0.08 315349
macro avg 0.51 0.50 0.08 315349
weighted avg 0.90 0.08 0.05 315349
Accuracy: 0.08098012043799092
90-100%
precision recall f1-score support
0 0.05 0.98 0.10 13620
1 0.96 0.03 0.05 240209
accuracy 0.08 253829
macro avg 0.51 0.50 0.08 253829
weighted avg 0.91 0.08 0.06 253829
Accuracy: 0.07825740951585516
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.69 0.76 22531902
1 0.66 0.81 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7436157415198017
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
1-10%
precision recall f1-score support
0 0.93 0.89 0.91 11439888
1 0.28 0.38 0.33 1271288
accuracy 0.84 12711176
macro avg 0.61 0.64 0.62 12711176
weighted avg 0.86 0.84 0.85 12711176
Accuracy: 0.8418169176479029
10-20%
precision recall f1-score support
0 0.71 0.53 0.61 5044441
1 0.54 0.72 0.61 3812372
accuracy 0.61 8856813
macro avg 0.62 0.62 0.61 8856813
weighted avg 0.64 0.61 0.61 8856813
Accuracy: 0.6100476548392746
20-40%
precision recall f1-score support
0 0.54 0.29 0.38 2995598
1 0.70 0.87 0.77 5583215
accuracy 0.67 8578813
macro avg 0.62 0.58 0.57 8578813
weighted avg 0.64 0.67 0.63 8578813
Accuracy: 0.666961851249118
40-80%
precision recall f1-score support
0 0.36 0.21 0.26 1295061
1 0.82 0.90 0.86 5001564
accuracy 0.76 6296625
macro avg 0.59 0.56 0.56 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.759135251027336
80-90%
precision recall f1-score support
0 0.27 0.19 0.22 117971
1 0.87 0.91 0.89 692761
accuracy 0.81 810732
macro avg 0.57 0.55 0.56 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8050428501650361
90-100%
precision recall f1-score support
0 0.25 0.19 0.22 88944
1 0.88 0.91 0.89 577496
accuracy 0.81 666440
macro avg 0.56 0.55 0.56 666440
weighted avg 0.80 0.81 0.80 666440
Accuracy: 0.8147695216373567
Treshold: 0.5
All
precision recall f1-score support
0 0.70 0.89 0.78 22531902
1 0.77 0.50 0.60 16938696
accuracy 0.72 39470598
macro avg 0.73 0.69 0.69 39470598
weighted avg 0.73 0.72 0.71 39470598
Accuracy: 0.7202673493824441
precision recall f1-score support
0 0.70 0.89 0.78 22531902
1 0.77 0.50 0.60 16938696
accuracy 0.72 39470598
macro avg 0.73 0.69 0.69 39470598
weighted avg 0.73 0.72 0.71 39470598
Accuracy: 0.7202673493824441
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.92 0.98 0.95 12989887
1 0.39 0.15 0.21 1271288
accuracy 0.90 14261175
macro avg 0.66 0.56 0.58 14261175
weighted avg 0.87 0.90 0.88 14261175
Accuracy: 0.9034285744337336
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.39 0.15 0.21 1271288
accuracy 0.89 12711176
macro avg 0.65 0.56 0.58 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8916526684863777
10-20%
precision recall f1-score support
0 0.63 0.85 0.72 5044441
1 0.63 0.33 0.43 3812372
accuracy 0.63 8856813
macro avg 0.63 0.59 0.58 8856813
weighted avg 0.63 0.63 0.60 8856813
Accuracy: 0.6262790012615147
20-40%
precision recall f1-score support
0 0.75 0.91 0.82 21029926
1 0.70 0.42 0.52 10666875
accuracy 0.74 31696801
macro avg 0.73 0.66 0.67 31696801
weighted avg 0.73 0.74 0.72 31696801
Accuracy: 0.7426644411213611
precision recall f1-score support
0 0.45 0.70 0.55 2995598
1 0.77 0.54 0.63 5583215
accuracy 0.60 8578813
macro avg 0.61 0.62 0.59 8578813
weighted avg 0.66 0.60 0.60 8578813
Accuracy: 0.5955716717452636
40-80%
precision recall f1-score support
0 0.71 0.89 0.79 22324987
1 0.76 0.49 0.59 15668439
accuracy 0.72 37993426
macro avg 0.73 0.69 0.69 37993426
weighted avg 0.73 0.72 0.71 37993426
Accuracy: 0.7231639231481783
precision recall f1-score support
0 0.30 0.59 0.39 1295061
1 0.86 0.63 0.73 5001564
accuracy 0.62 6296625
macro avg 0.58 0.61 0.56 6296625
weighted avg 0.74 0.62 0.66 6296625
Accuracy: 0.6249995831099994
80-90%
precision recall f1-score support
0 0.22 0.56 0.31 117971
1 0.90 0.66 0.76 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.54 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6425822589955744
90-100%
precision recall f1-score support
0 0.20 0.55 0.30 88944
1 0.91 0.66 0.77 577496
accuracy 0.65 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.65 0.70 666440
Accuracy: 0.6496398775583698
Treshold: 0.6
All
precision recall f1-score support
0 0.63 0.96 0.76 22531902
1 0.82 0.26 0.39 16938696
accuracy 0.66 39470598
macro avg 0.72 0.61 0.58 39470598
weighted avg 0.71 0.66 0.60 39470598
Accuracy: 0.6569262517887365
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 0.99 0.95 11439888
1 0.46 0.06 0.11 1271288
accuracy 0.90 12711176
macro avg 0.68 0.53 0.53 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8990318441031735
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.14 0.24 3812372
accuracy 0.60 8856813
macro avg 0.64 0.55 0.48 8856813
weighted avg 0.63 0.60 0.52 8856813
Accuracy: 0.6020663414706847
20-40%
precision recall f1-score support
0 0.39 0.89 0.54 2995598
1 0.81 0.26 0.39 5583215
accuracy 0.48 8578813
macro avg 0.60 0.57 0.47 8578813
weighted avg 0.66 0.48 0.45 8578813
Accuracy: 0.47924951855227527
40-80%
precision recall f1-score support
0 0.25 0.82 0.38 1295061
1 0.88 0.36 0.51 5001564
accuracy 0.45 6296625
macro avg 0.57 0.59 0.44 6296625
weighted avg 0.75 0.45 0.48 6296625
Accuracy: 0.4521333253925714
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.39 0.55 692761
accuracy 0.45 810732
macro avg 0.55 0.59 0.42 810732
weighted avg 0.81 0.45 0.51 810732
Accuracy: 0.4465680397467967
90-100%
precision recall f1-score support
0 0.17 0.78 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.59 0.41 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4483209291158994
Treshold: 0.7
All
precision recall f1-score support
0 0.58 1.00 0.73 22531902
1 0.87 0.03 0.07 16938696
accuracy 0.58 39470598
macro avg 0.72 0.52 0.40 39470598
weighted avg 0.70 0.58 0.45 39470598
Accuracy: 0.5835130747195673
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.53 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.72 0.50 0.48 12711176
weighted avg 0.86 0.90 0.85 12711176
Accuracy: 0.9000747059123404
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.75 0.02 0.04 3812372
accuracy 0.57 8856813
macro avg 0.66 0.51 0.38 8856813
weighted avg 0.65 0.57 0.43 8856813
Accuracy: 0.5748918939577927
20-40%
precision recall f1-score support
0 0.35 0.99 0.52 2995598
1 0.86 0.03 0.06 5583215
accuracy 0.37 8578813
macro avg 0.61 0.51 0.29 8578813
weighted avg 0.68 0.37 0.22 8578813
Accuracy: 0.3670397058427547
40-80%
precision recall f1-score support
0 0.21 0.98 0.35 1295061
1 0.92 0.05 0.09 5001564
accuracy 0.24 6296625
macro avg 0.56 0.52 0.22 6296625
weighted avg 0.77 0.24 0.15 6296625
Accuracy: 0.2413643817124253
80-90%
precision recall f1-score support
0 0.15 0.98 0.26 117971
1 0.94 0.06 0.11 692761
accuracy 0.19 810732
macro avg 0.55 0.52 0.19 810732
weighted avg 0.83 0.19 0.13 810732
Accuracy: 0.19361885308585328
90-100%
precision recall f1-score support
0 0.14 0.98 0.24 88944
1 0.94 0.06 0.12 577496
accuracy 0.19 666440
macro avg 0.54 0.52 0.18 666440
weighted avg 0.84 0.19 0.14 666440
Accuracy: 0.1851239421403277
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.87 0.57 0.69 28055468
1 0.62 0.89 0.73 21729815
accuracy 0.71 49785283
macro avg 0.74 0.73 0.71 49785283
weighted avg 0.76 0.71 0.71 49785283
Accuracy: 0.7105028809417434
0-1%
precision recall f1-score support
0 0.87 0.58 0.69 27764588
1 0.56 0.86 0.68 17098553
accuracy 0.69 44863141
macro avg 0.71 0.72 0.69 44863141
weighted avg 0.75 0.69 0.69 44863141
Accuracy: 0.6852791247942269
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.934885861424672
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9903718599920791
20-40%
precision recall f1-score support
0 0.04 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.52 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9947952784106929
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9970184853905785
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9978337395071757
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9964936886395512
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.79 0.77 28055468
1 0.71 0.66 0.69 21729815
accuracy 0.73 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.73 0.73 0.73 49785283
Accuracy: 0.7336467485782897
precision recall f1-score support
0 0.75 0.79 0.77 28055468
1 0.71 0.66 0.69 21729815
accuracy 0.73 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.73 0.73 0.73 49785283
Accuracy: 0.7336467284920325
0-1%
precision recall f1-score support
0 0.76 0.79 0.78 27764588
1 0.64 0.59 0.61 17098553
accuracy 0.71 44863141
macro avg 0.70 0.69 0.69 44863141
weighted avg 0.71 0.71 0.71 44863141
Accuracy: 0.7149236385388175
precision recall f1-score support
0 0.76 0.79 0.78 27764588
1 0.64 0.59 0.61 17098553
accuracy 0.71 44863141
macro avg 0.70 0.69 0.69 44863141
weighted avg 0.71 0.71 0.71 44863141
Accuracy: 0.7149236385388175
1-10%
precision recall f1-score support
0 0.09 0.06 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.8977537934453056
precision recall f1-score support
0 0.75 0.79 0.77 28052152
1 0.70 0.66 0.68 21263340
accuracy 0.73 49315492
macro avg 0.73 0.72 0.72 49315492
weighted avg 0.73 0.73 0.73 49315492
Accuracy: 0.7314300950297727
10-20%
precision recall f1-score support
0 0.75 0.79 0.77 28054607
1 0.70 0.66 0.68 21520956
accuracy 0.73 49575563
macro avg 0.73 0.72 0.73 49575563
weighted avg 0.73 0.73 0.73 49575563
Accuracy: 0.7326891275042101
precision recall f1-score support
0 0.01 0.03 0.02 2455
1 0.99 0.98 0.99 257616
accuracy 0.97 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.97 0.98 260071
Accuracy: 0.9714308784908736
20-40%
precision recall f1-score support
0 0.75 0.79 0.77 28055266
1 0.71 0.66 0.68 21651524
accuracy 0.73 49706790
macro avg 0.73 0.73 0.73 49706790
weighted avg 0.73 0.73 0.73 49706790
Accuracy: 0.7333072604366526
precision recall f1-score support
0 0.01 0.04 0.01 659
1 1.00 0.97 0.98 130568
accuracy 0.97 131227
macro avg 0.50 0.51 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9668284727990428
40-80%
precision recall f1-score support
0 0.75 0.79 0.77 28055435
1 0.71 0.66 0.69 21716758
accuracy 0.73 49772193
macro avg 0.73 0.73 0.73 49772193
weighted avg 0.73 0.73 0.73 49772193
Accuracy: 0.7335928517355063
precision recall f1-score support
0 0.01 0.09 0.01 169
1 1.00 0.95 0.97 65234
accuracy 0.95 65403
macro avg 0.50 0.52 0.49 65403
weighted avg 0.99 0.95 0.97 65403
Accuracy: 0.9506444658501904
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.94 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.50 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9388031410777146
90-100%
precision recall f1-score support
0 0.01 0.22 0.02 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.50 0.58 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9381136044880786
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.90 0.77 28055468
1 0.78 0.44 0.56 21729815
accuracy 0.70 49785283
macro avg 0.73 0.67 0.67 49785283
weighted avg 0.72 0.70 0.68 49785283
Accuracy: 0.7010289566898715
0-1%
precision recall f1-score support
0 0.69 0.91 0.78 27764588
1 0.69 0.33 0.45 17098553
accuracy 0.69 44863141
macro avg 0.69 0.62 0.61 44863141
weighted avg 0.69 0.69 0.65 44863141
Accuracy: 0.6880236272355518
1-10%
precision recall f1-score support
0 0.08 0.19 0.11 287564
1 0.94 0.85 0.89 4164787
accuracy 0.81 4452351
macro avg 0.51 0.52 0.50 4452351
weighted avg 0.88 0.81 0.84 4452351
Accuracy: 0.8106463304442979
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.93 0.96 257616
accuracy 0.92 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.92 0.95 260071
Accuracy: 0.9243629624218002
20-40%
precision recall f1-score support
0 0.01 0.12 0.01 659
1 1.00 0.90 0.95 130568
accuracy 0.90 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.90 0.94 131227
Accuracy: 0.8987098691580239
40-80%
precision recall f1-score support
0 0.00 0.20 0.01 169
1 1.00 0.85 0.92 65234
accuracy 0.85 65403
macro avg 0.50 0.53 0.46 65403
weighted avg 1.00 0.85 0.92 65403
Accuracy: 0.8507255018882925
80-90%
precision recall f1-score support
0 0.00 0.20 0.00 15
1 1.00 0.82 0.90 7371
accuracy 0.82 7386
macro avg 0.50 0.51 0.45 7386
weighted avg 1.00 0.82 0.90 7386
Accuracy: 0.8216896831844029
90-100%
precision recall f1-score support
0 0.01 0.39 0.01 18
1 1.00 0.83 0.90 5686
accuracy 0.82 5704
macro avg 0.50 0.61 0.46 5704
weighted avg 0.99 0.82 0.90 5704
Accuracy: 0.823632538569425
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.98 0.75 28055468
1 0.89 0.17 0.28 21729815
accuracy 0.63 49785283
macro avg 0.75 0.58 0.51 49785283
weighted avg 0.73 0.63 0.54 49785283
Accuracy: 0.6273568235014352
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.77 0.06 0.11 17098553
accuracy 0.63 44863141
macro avg 0.70 0.52 0.44 44863141
weighted avg 0.69 0.63 0.52 44863141
Accuracy: 0.6343823095221978
1-10%
precision recall f1-score support
0 0.08 0.53 0.13 287564
1 0.94 0.55 0.69 4164787
accuracy 0.55 4452351
macro avg 0.51 0.54 0.41 4452351
weighted avg 0.89 0.55 0.66 4452351
Accuracy: 0.5476079940687515
10-20%
precision recall f1-score support
0 0.01 0.23 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.78 260071
macro avg 0.50 0.50 0.45 260071
weighted avg 0.98 0.78 0.87 260071
Accuracy: 0.7768071026758078
20-40%
precision recall f1-score support
0 0.01 0.33 0.01 659
1 1.00 0.69 0.82 130568
accuracy 0.69 131227
macro avg 0.50 0.51 0.41 131227
weighted avg 0.99 0.69 0.81 131227
Accuracy: 0.6893246054546701
40-80%
precision recall f1-score support
0 0.00 0.48 0.01 169
1 1.00 0.55 0.71 65234
accuracy 0.55 65403
macro avg 0.50 0.52 0.36 65403
weighted avg 0.99 0.55 0.71 65403
Accuracy: 0.5524058529425255
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.46 0.63 7371
accuracy 0.46 7386
macro avg 0.50 0.43 0.31 7386
weighted avg 1.00 0.46 0.63 7386
Accuracy: 0.45667479014351475
90-100%
precision recall f1-score support
0 0.00 0.50 0.01 18
1 1.00 0.46 0.63 5686
accuracy 0.46 5704
macro avg 0.50 0.48 0.32 5704
weighted avg 0.99 0.46 0.63 5704
Accuracy: 0.46037868162692847
Treshold: 0.8
All
precision recall f1-score support
0 0.58 1.00 0.73 28055468
1 0.95 0.05 0.10 21729815
accuracy 0.58 49785283
macro avg 0.76 0.52 0.41 49785283
weighted avg 0.74 0.58 0.45 49785283
Accuracy: 0.5848841915792665
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.74 0.00 0.01 17098553
accuracy 0.62 44863141
macro avg 0.68 0.50 0.39 44863141
weighted avg 0.67 0.62 0.48 44863141
Accuracy: 0.61957714908994
1-10%
precision recall f1-score support
0 0.07 0.85 0.13 287564
1 0.96 0.22 0.36 4164787
accuracy 0.26 4452351
macro avg 0.51 0.54 0.24 4452351
weighted avg 0.90 0.26 0.34 4452351
Accuracy: 0.2617493544421812
10-20%
precision recall f1-score support
0 0.01 0.52 0.02 2455
1 0.99 0.46 0.63 257616
accuracy 0.46 260071
macro avg 0.50 0.49 0.32 260071
weighted avg 0.98 0.46 0.63 260071
Accuracy: 0.4642693725944069
20-40%
precision recall f1-score support
0 0.00 0.71 0.01 659
1 0.99 0.25 0.40 130568
accuracy 0.25 131227
macro avg 0.50 0.48 0.20 131227
weighted avg 0.99 0.25 0.40 131227
Accuracy: 0.25135833326983015
40-80%
precision recall f1-score support
0 0.00 0.91 0.00 169
1 1.00 0.05 0.09 65234
accuracy 0.05 65403
macro avg 0.50 0.48 0.05 65403
weighted avg 0.99 0.05 0.09 65403
Accuracy: 0.04969191015702644
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.01 7371
accuracy 0.01 7386
macro avg 0.50 0.50 0.01 7386
weighted avg 1.00 0.01 0.01 7386
Accuracy: 0.005144868670457623
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005610098176718092
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.72 28055468
1 0.95 0.02 0.03 21729815
accuracy 0.57 49785283
macro avg 0.76 0.51 0.38 49785283
weighted avg 0.74 0.57 0.42 49785283
Accuracy: 0.5698835537401685
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.17 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.39 0.50 0.38 44863141
weighted avg 0.45 0.62 0.47 44863141
Accuracy: 0.6187671077243566
1-10%
precision recall f1-score support
0 0.07 0.96 0.12 287564
1 0.97 0.07 0.13 4164787
accuracy 0.13 4452351
macro avg 0.52 0.52 0.13 4452351
weighted avg 0.91 0.13 0.13 4452351
Accuracy: 0.1286163197825149
10-20%
precision recall f1-score support
0 0.01 0.85 0.02 2455
1 0.99 0.14 0.24 257616
accuracy 0.14 260071
macro avg 0.50 0.50 0.13 260071
weighted avg 0.98 0.14 0.24 260071
Accuracy: 0.14473355352961306
20-40%
precision recall f1-score support
0 0.00 0.98 0.01 659
1 0.99 0.01 0.01 130568
accuracy 0.01 131227
macro avg 0.50 0.49 0.01 131227
weighted avg 0.98 0.01 0.01 131227
Accuracy: 0.011354370670669908
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.87 0.56 0.69 26119367
1 0.63 0.90 0.74 21615229
accuracy 0.72 47734596
macro avg 0.75 0.73 0.71 47734596
weighted avg 0.76 0.72 0.71 47734596
Accuracy: 0.7174706370197415
0-1%
precision recall f1-score support
0 0.97 0.87 0.92 12053010
1 0.09 0.30 0.14 508421
accuracy 0.85 12561431
macro avg 0.53 0.58 0.53 12561431
weighted avg 0.93 0.85 0.88 12561431
Accuracy: 0.8472322938365859
1-10%
precision recall f1-score support
0 0.72 0.32 0.44 13368467
1 0.58 0.88 0.70 14466820
accuracy 0.61 27835287
macro avg 0.65 0.60 0.57 27835287
weighted avg 0.65 0.61 0.58 27835287
Accuracy: 0.6114798457080755
10-20%
precision recall f1-score support
0 0.22 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.54 0.51 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8630667096073421
20-40%
precision recall f1-score support
0 0.15 0.02 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.54 0.51 0.50 2117913
weighted avg 0.88 0.92 0.90 2117913
Accuracy: 0.9231488734428657
40-80%
precision recall f1-score support
0 0.10 0.03 0.04 41616
1 0.96 0.99 0.98 1064279
accuracy 0.95 1105895
macro avg 0.53 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9546448803909955
80-90%
precision recall f1-score support
0 0.10 0.04 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.54 0.52 0.52 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668483343545422
90-100%
precision recall f1-score support
0 0.09 0.04 0.05 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.53 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9689924040444691
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.76 0.76 26119367
1 0.71 0.72 0.71 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7399913262070973
precision recall f1-score support
0 0.76 0.76 0.76 26119367
1 0.71 0.72 0.71 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7399913471562638
0-1%
precision recall f1-score support
0 0.96 0.96 0.96 12053010
1 0.12 0.14 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.93 12561431
Accuracy: 0.9220558549420046
precision recall f1-score support
0 0.96 0.96 0.96 12053010
1 0.12 0.14 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.93 12561431
Accuracy: 0.9220558549420046
1-10%
precision recall f1-score support
0 0.78 0.78 0.78 25421477
1 0.62 0.62 0.62 14975241
accuracy 0.72 40396718
macro avg 0.70 0.70 0.70 40396718
weighted avg 0.72 0.72 0.72 40396718
Accuracy: 0.7203608223816598
precision recall f1-score support
0 0.61 0.62 0.62 13368467
1 0.64 0.64 0.64 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6293404124053041
10-20%
precision recall f1-score support
0 0.77 0.77 0.77 25924842
1 0.67 0.68 0.67 18362515
accuracy 0.73 44287357
macro avg 0.72 0.72 0.72 44287357
weighted avg 0.73 0.73 0.73 44287357
Accuracy: 0.7285565042863136
precision recall f1-score support
0 0.18 0.13 0.15 503365
1 0.88 0.92 0.90 3387274
accuracy 0.81 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.81 0.80 3890639
Accuracy: 0.8136527187436305
20-40%
precision recall f1-score support
0 0.77 0.76 0.76 26072330
1 0.70 0.70 0.70 20332940
accuracy 0.74 46405270
macro avg 0.73 0.73 0.73 46405270
weighted avg 0.74 0.74 0.74 46405270
Accuracy: 0.7352348343194641
precision recall f1-score support
0 0.10 0.10 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.88 0.87 0.87 2117913
Accuracy: 0.8748843791033909
40-80%
precision recall f1-score support
0 0.06 0.10 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.92 1105895
Accuracy: 0.9042368398446508
80-90%
precision recall f1-score support
0 0.04 0.11 0.06 3093
1 0.98 0.93 0.96 120943
accuracy 0.91 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9142910122867555
90-100%
precision recall f1-score support
0 0.04 0.11 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.93 99395
Accuracy: 0.9157502892499623
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.87 0.77 26119367
1 0.77 0.53 0.62 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.70 47734596
Accuracy: 0.712363691105713
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.07 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.946364948388444
1-10%
precision recall f1-score support
0 0.55 0.79 0.65 13368467
1 0.68 0.41 0.51 14466820
accuracy 0.59 27835287
macro avg 0.62 0.60 0.58 27835287
weighted avg 0.62 0.59 0.58 27835287
Accuracy: 0.5943696215526716
10-20%
precision recall f1-score support
0 0.17 0.29 0.21 503365
1 0.88 0.79 0.83 3387274
accuracy 0.72 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.72 0.75 3890639
Accuracy: 0.7230765948729759
20-40%
precision recall f1-score support
0 0.10 0.24 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7897099644791831
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.816456354355522
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8211406365893773
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.82 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.82 0.88 99395
Accuracy: 0.8221037275516877
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.96 0.74 26119367
1 0.83 0.22 0.34 21615229
accuracy 0.63 47734596
macro avg 0.72 0.59 0.54 47734596
weighted avg 0.70 0.63 0.56 47734596
Accuracy: 0.625837767643409
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.23 0.01 0.03 508421
accuracy 0.96 12561431
macro avg 0.60 0.51 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9581693359618024
1-10%
precision recall f1-score support
0 0.50 0.95 0.65 13368467
1 0.71 0.11 0.19 14466820
accuracy 0.51 27835287
macro avg 0.61 0.53 0.42 27835287
weighted avg 0.61 0.51 0.41 27835287
Accuracy: 0.5148418983429199
10-20%
precision recall f1-score support
0 0.14 0.66 0.23 503365
1 0.89 0.39 0.54 3387274
accuracy 0.43 3890639
macro avg 0.51 0.53 0.39 3890639
weighted avg 0.79 0.43 0.50 3890639
Accuracy: 0.4256416490967165
20-40%
precision recall f1-score support
0 0.08 0.53 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.53 2117913
macro avg 0.51 0.53 0.40 2117913
weighted avg 0.88 0.53 0.64 2117913
Accuracy: 0.5250527287948088
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.68 1105895
Accuracy: 0.5566577297121336
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.55 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.55 0.69 124036
Accuracy: 0.5545970524686381
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.55 0.71 97067
accuracy 0.55 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.55 0.69 99395
Accuracy: 0.5526837366064692
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.71 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.63 0.50 0.35 47734596
weighted avg 0.62 0.55 0.39 47734596
Accuracy: 0.547201363137126
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9594811291802662
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.81 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.65 0.50 0.32 27835287
weighted avg 0.65 0.48 0.31 27835287
Accuracy: 0.4802708518866718
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.89 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.51 0.50 0.11 3890639
weighted avg 0.79 0.13 0.03 3890639
Accuracy: 0.12957408795830197
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.92 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.50 0.50 0.07 2117913
weighted avg 0.86 0.07 0.01 2117913
Accuracy: 0.07003498255121905
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 1.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.52 0.50 0.04 1105895
weighted avg 0.96 0.04 0.00 1105895
Accuracy: 0.037641909946242634
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471702536248553
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9594921151897423
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.57 0.69 24893266
1 0.63 0.90 0.74 20563095
accuracy 0.72 45456361
macro avg 0.75 0.74 0.72 45456361
weighted avg 0.77 0.72 0.72 45456361
Accuracy: 0.7202560275337483
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.00 0.14 0.01 3872
accuracy 0.97 4877461
macro avg 0.50 0.56 0.50 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9694410678014648
1-10%
precision recall f1-score support
0 0.84 0.55 0.67 16949103
1 0.45 0.79 0.57 8016772
accuracy 0.63 24965875
macro avg 0.65 0.67 0.62 24965875
weighted avg 0.72 0.63 0.64 24965875
Accuracy: 0.6252288774176751
10-20%
precision recall f1-score support
0 0.43 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.58 0.52 0.47 7518650
weighted avg 0.65 0.72 0.64 7518650
Accuracy: 0.7206546387981885
20-40%
precision recall f1-score support
0 0.27 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.56 0.51 0.49 4805513
weighted avg 0.76 0.83 0.78 4805513
Accuracy: 0.8335176702258427
40-80%
precision recall f1-score support
0 0.18 0.04 0.07 235909
1 0.92 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.55 0.51 0.51 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.9005737431260397
80-90%
precision recall f1-score support
0 0.14 0.04 0.07 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.54 0.51 0.52 315349
weighted avg 0.90 0.93 0.91 315349
Accuracy: 0.9278323381396485
90-100%
precision recall f1-score support
0 0.13 0.05 0.07 13620
1 0.95 0.98 0.97 240209
accuracy 0.93 253829
macro avg 0.54 0.51 0.52 253829
weighted avg 0.90 0.93 0.92 253829
Accuracy: 0.932612112879143
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.76 0.76 24893266
1 0.71 0.71 0.71 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7417637324729975
precision recall f1-score support
0 0.76 0.76 0.76 24893266
1 0.71 0.71 0.71 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7417637324729975
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.06 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9933961542696087
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.06 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9933961542696087
1-10%
precision recall f1-score support
0 0.76 0.79 0.78 16949103
1 0.52 0.48 0.50 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6907540793182695
precision recall f1-score support
0 0.81 0.84 0.82 21822692
1 0.52 0.48 0.50 8020644
accuracy 0.74 29843336
macro avg 0.67 0.66 0.66 29843336
weighted avg 0.73 0.74 0.74 29843336
Accuracy: 0.7402165428154547
10-20%
precision recall f1-score support
0 0.79 0.79 0.79 23880186
1 0.62 0.62 0.62 13481800
accuracy 0.73 37361986
macro avg 0.71 0.70 0.71 37361986
weighted avg 0.73 0.73 0.73 37361986
Accuracy: 0.728249563607245
precision recall f1-score support
0 0.39 0.30 0.34 2057494
1 0.76 0.83 0.79 5461156
accuracy 0.68 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.68 0.67 7518650
Accuracy: 0.6807497356573321
20-40%
precision recall f1-score support
0 0.77 0.77 0.77 24625160
1 0.68 0.68 0.68 17542339
accuracy 0.73 42167499
macro avg 0.73 0.73 0.73 42167499
weighted avg 0.73 0.73 0.73 42167499
Accuracy: 0.7338795691914287
precision recall f1-score support
0 0.24 0.20 0.22 744974
1 0.86 0.88 0.87 4060539
accuracy 0.78 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.78 0.77 4805513
Accuracy: 0.7776518344659561
40-80%
precision recall f1-score support
0 0.14 0.17 0.15 235909
1 0.92 0.90 0.91 2483775
accuracy 0.84 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.84 0.84 2719684
Accuracy: 0.8381433284160954
precision recall f1-score support
0 0.77 0.76 0.77 24861069
1 0.71 0.71 0.71 20026114
accuracy 0.74 44887183
macro avg 0.74 0.74 0.74 44887183
weighted avg 0.74 0.74 0.74 44887183
Accuracy: 0.7401968397081189
80-90%
precision recall f1-score support
0 0.10 0.16 0.12 18577
1 0.95 0.91 0.93 296772
accuracy 0.86 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.86 0.88 315349
Accuracy: 0.8629772093775467
90-100%
precision recall f1-score support
0 0.09 0.16 0.11 13620
1 0.95 0.91 0.93 240209
accuracy 0.87 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.87 0.89 253829
Accuracy: 0.8682617037454349
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.87 0.77 24893266
1 0.77 0.53 0.63 20563095
accuracy 0.71 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.72 0.71 0.70 45456361
Accuracy: 0.7141359819806077
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.02 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978650777525437
1-10%
precision recall f1-score support
0 0.72 0.90 0.80 16949103
1 0.56 0.28 0.37 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.66 24965875
Accuracy: 0.6974136896864219
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5881461432571007
20-40%
precision recall f1-score support
0 0.22 0.39 0.28 744974
1 0.87 0.74 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.57 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6866779883854232
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.85 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7440886514756861
80-90%
precision recall f1-score support
0 0.09 0.32 0.14 18577
1 0.95 0.79 0.86 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7665887635603728
90-100%
precision recall f1-score support
0 0.08 0.32 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.77 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.77 0.83 253829
Accuracy: 0.7725594790193397
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.96 0.74 24893266
1 0.82 0.23 0.36 20563095
accuracy 0.63 45456361
macro avg 0.71 0.60 0.55 45456361
weighted avg 0.70 0.63 0.57 45456361
Accuracy: 0.6300721696573995
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.01 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991124480544283
1-10%
precision recall f1-score support
0 0.69 0.97 0.81 16949103
1 0.61 0.09 0.15 8016772
accuracy 0.69 24965875
macro avg 0.65 0.53 0.48 24965875
weighted avg 0.67 0.69 0.60 24965875
Accuracy: 0.6885729020112453
10-20%
precision recall f1-score support
0 0.29 0.85 0.43 2057494
1 0.79 0.21 0.33 5461156
accuracy 0.39 7518650
macro avg 0.54 0.53 0.38 7518650
weighted avg 0.65 0.39 0.36 7518650
Accuracy: 0.3869113471168361
20-40%
precision recall f1-score support
0 0.17 0.72 0.28 744974
1 0.88 0.37 0.52 4060539
accuracy 0.42 4805513
macro avg 0.53 0.55 0.40 4805513
weighted avg 0.77 0.42 0.48 4805513
Accuracy: 0.42453532016248835
40-80%
precision recall f1-score support
0 0.10 0.62 0.17 235909
1 0.93 0.48 0.63 2483775
accuracy 0.49 2719684
macro avg 0.52 0.55 0.40 2719684
weighted avg 0.86 0.49 0.59 2719684
Accuracy: 0.4898171993511011
80-90%
precision recall f1-score support
0 0.07 0.59 0.13 18577
1 0.95 0.51 0.67 296772
accuracy 0.52 315349
macro avg 0.51 0.55 0.40 315349
weighted avg 0.90 0.52 0.63 315349
Accuracy: 0.5170874174327491
90-100%
precision recall f1-score support
0 0.06 0.58 0.12 13620
1 0.96 0.52 0.67 240209
accuracy 0.52 253829
macro avg 0.51 0.55 0.39 253829
weighted avg 0.91 0.52 0.64 253829
Accuracy: 0.5218434457843666
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.60 0.71 22531902
1 0.63 0.89 0.73 16938696
accuracy 0.72 39470598
macro avg 0.75 0.74 0.72 39470598
weighted avg 0.77 0.72 0.72 39470598
Accuracy: 0.7246775688577103
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999935483829344
1-10%
precision recall f1-score support
0 0.94 0.83 0.88 11439888
1 0.25 0.50 0.34 1271288
accuracy 0.80 12711176
macro avg 0.60 0.67 0.61 12711176
weighted avg 0.87 0.80 0.83 12711176
Accuracy: 0.8012117840237599
10-20%
precision recall f1-score support
0 0.75 0.37 0.49 5044441
1 0.50 0.84 0.63 3812372
accuracy 0.57 8856813
macro avg 0.62 0.60 0.56 8856813
weighted avg 0.64 0.57 0.55 8856813
Accuracy: 0.5689449466755141
20-40%
precision recall f1-score support
0 0.56 0.16 0.25 2995598
1 0.67 0.93 0.78 5583215
accuracy 0.66 8578813
macro avg 0.62 0.55 0.52 8578813
weighted avg 0.64 0.66 0.60 8578813
Accuracy: 0.6637653717361598
40-80%
precision recall f1-score support
0 0.37 0.12 0.18 1295061
1 0.81 0.95 0.87 5001564
accuracy 0.78 6296625
macro avg 0.59 0.53 0.52 6296625
weighted avg 0.72 0.78 0.73 6296625
Accuracy: 0.7783166378814047
80-90%
precision recall f1-score support
0 0.29 0.11 0.16 117971
1 0.86 0.95 0.91 692761
accuracy 0.83 810732
macro avg 0.57 0.53 0.53 810732
weighted avg 0.78 0.83 0.80 810732
Accuracy: 0.8312426301169807
90-100%
precision recall f1-score support
0 0.27 0.11 0.15 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.57 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.8419107496548827
Treshold: 0.5
All
precision recall f1-score support
0 0.77 0.80 0.78 22531902
1 0.72 0.68 0.70 16938696
accuracy 0.75 39470598
macro avg 0.74 0.74 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7469073055341092
precision recall f1-score support
0 0.77 0.80 0.78 22531902
1 0.72 0.68 0.70 16938696
accuracy 0.75 39470598
macro avg 0.74 0.74 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7469072548634809
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.95 0.94 12989887
1 0.33 0.25 0.28 1271288
accuracy 0.89 14261175
macro avg 0.63 0.60 0.61 14261175
weighted avg 0.87 0.89 0.88 14261175
Accuracy: 0.8878781727312091
precision recall f1-score support
0 0.92 0.94 0.93 11439888
1 0.33 0.25 0.28 1271288
accuracy 0.87 12711176
macro avg 0.62 0.60 0.61 12711176
weighted avg 0.86 0.87 0.87 12711176
Accuracy: 0.8742061316749922
10-20%
precision recall f1-score support
0 0.85 0.88 0.87 18034328
1 0.53 0.46 0.49 5083660
accuracy 0.79 23117988
macro avg 0.69 0.67 0.68 23117988
weighted avg 0.78 0.79 0.78 23117988
Accuracy: 0.7898850453594837
precision recall f1-score support
0 0.67 0.71 0.69 5044441
1 0.58 0.53 0.55 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6320973469802287
20-40%
precision recall f1-score support
0 0.50 0.48 0.49 2995598
1 0.73 0.74 0.74 5583215
accuracy 0.65 8578813
macro avg 0.62 0.61 0.62 8578813
weighted avg 0.65 0.65 0.65 8578813
Accuracy: 0.6532376915081376
40-80%
precision recall f1-score support
0 0.78 0.80 0.79 22324987
1 0.70 0.67 0.69 15668439
accuracy 0.75 37993426
macro avg 0.74 0.74 0.74 37993426
weighted avg 0.75 0.75 0.75 37993426
Accuracy: 0.7466853081372551
precision recall f1-score support
0 0.33 0.38 0.35 1295061
1 0.83 0.80 0.82 5001564
accuracy 0.72 6296625
macro avg 0.58 0.59 0.59 6296625
weighted avg 0.73 0.72 0.72 6296625
Accuracy: 0.7153953109800886
80-90%
precision recall f1-score support
0 0.24 0.35 0.29 117971
1 0.88 0.82 0.85 692761
accuracy 0.75 810732
macro avg 0.56 0.58 0.57 810732
weighted avg 0.79 0.75 0.77 810732
Accuracy: 0.7487714805879131
90-100%
precision recall f1-score support
0 0.23 0.34 0.27 88944
1 0.89 0.82 0.85 577496
accuracy 0.76 666440
macro avg 0.56 0.58 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7572924794430106
Treshold: 0.6
All
precision recall f1-score support
0 0.70 0.89 0.78 22531902
1 0.77 0.49 0.60 16938696
accuracy 0.72 39470598
macro avg 0.73 0.69 0.69 39470598
weighted avg 0.73 0.72 0.70 39470598
Accuracy: 0.7184106002143672
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.39 0.14 0.21 1271288
accuracy 0.89 12711176
macro avg 0.65 0.56 0.58 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8918240137655241
10-20%
precision recall f1-score support
0 0.63 0.85 0.72 5044441
1 0.63 0.32 0.42 3812372
accuracy 0.63 8856813
macro avg 0.63 0.59 0.57 8856813
weighted avg 0.63 0.63 0.59 8856813
Accuracy: 0.6253006583745191
20-40%
precision recall f1-score support
0 0.45 0.70 0.55 2995598
1 0.77 0.53 0.63 5583215
accuracy 0.59 8578813
macro avg 0.61 0.62 0.59 8578813
weighted avg 0.66 0.59 0.60 8578813
Accuracy: 0.5924746232375039
40-80%
precision recall f1-score support
0 0.29 0.60 0.39 1295061
1 0.86 0.63 0.72 5001564
accuracy 0.62 6296625
macro avg 0.57 0.61 0.56 6296625
weighted avg 0.74 0.62 0.66 6296625
Accuracy: 0.6200054791257221
80-90%
precision recall f1-score support
0 0.22 0.57 0.31 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6367763946655615
90-100%
precision recall f1-score support
0 0.20 0.56 0.30 88944
1 0.91 0.66 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.70 666440
Accuracy: 0.6435207970710042
Treshold: 0.7
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.59 0.56 39470598
weighted avg 0.71 0.65 0.58 39470598
Accuracy: 0.6471920947334013
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 0.99 0.95 11439888
1 0.47 0.05 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8993622619968443
10-20%
precision recall f1-score support
0 0.59 0.96 0.73 5044441
1 0.68 0.13 0.21 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.47 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5986118257210579
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.82 0.23 0.35 5583215
accuracy 0.46 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.67 0.46 0.42 8578813
Accuracy: 0.46333006675865296
40-80%
precision recall f1-score support
0 0.24 0.85 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.42 6296625
macro avg 0.57 0.58 0.42 6296625
weighted avg 0.75 0.42 0.45 6296625
Accuracy: 0.424655748119032
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.41 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.41 0.47 810732
Accuracy: 0.41438601165366606
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.35 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.4150996338755177
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.91 0.00 0.01 16938696
accuracy 0.57 39470598
macro avg 0.74 0.50 0.37 39470598
weighted avg 0.72 0.57 0.42 39470598
Accuracy: 0.5721525931783451
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.55 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.73 0.50 0.47 12711176
weighted avg 0.87 0.90 0.85 12711176
Accuracy: 0.8999977657456714
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.68 0.50 0.36 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5702003643974418
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.91 0.00 0.01 5583215
accuracy 0.35 8578813
macro avg 0.63 0.50 0.26 8578813
weighted avg 0.72 0.35 0.19 8578813
Accuracy: 0.35125034197621513
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.96 0.00 0.01 5001564
accuracy 0.21 6296625
macro avg 0.58 0.50 0.18 6296625
weighted avg 0.80 0.21 0.08 6296625
Accuracy: 0.20910853036348837
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.97 0.00 0.01 692761
accuracy 0.15 810732
macro avg 0.56 0.50 0.13 810732
weighted avg 0.85 0.15 0.05 810732
Accuracy: 0.1496191096441241
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.98 0.00 0.01 577496
accuracy 0.14 666440
macro avg 0.56 0.50 0.12 666440
weighted avg 0.86 0.14 0.04 666440
Accuracy: 0.13763879719104496
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.47 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.68 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.68 0.66 49785283
Accuracy: 0.6754580063349244
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6463347272095817
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.7256453880155708
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.7256452875842847
0-1%
precision recall f1-score support
0 0.84 0.65 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.70273686365384
precision recall f1-score support
0 0.84 0.65 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.7027367522037746
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9287387719431823
precision recall f1-score support
0 0.84 0.64 0.72 28052152
1 0.64 0.83 0.72 21263340
accuracy 0.72 49315492
macro avg 0.74 0.74 0.72 49315492
weighted avg 0.75 0.72 0.72 49315492
Accuracy: 0.723140995936936
10-20%
precision recall f1-score support
0 0.84 0.64 0.72 28054607
1 0.64 0.84 0.73 21520956
accuracy 0.72 49575563
macro avg 0.74 0.74 0.72 49575563
weighted avg 0.75 0.72 0.72 49575563
Accuracy: 0.7245276266454099
precision recall f1-score support
0 0.04 0.01 0.02 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.51 0.50 0.51 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.987464961491285
20-40%
precision recall f1-score support
0 0.84 0.64 0.72 28055266
1 0.64 0.84 0.73 21651524
accuracy 0.73 49706790
macro avg 0.74 0.74 0.73 49706790
weighted avg 0.75 0.73 0.73 49706790
Accuracy: 0.7252297321955411
precision recall f1-score support
0 0.02 0.02 0.02 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.51 0.51 0.51 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.990474521249438
40-80%
precision recall f1-score support
0 0.84 0.64 0.72 28055435
1 0.64 0.84 0.73 21716758
accuracy 0.73 49772193
macro avg 0.74 0.74 0.73 49772193
weighted avg 0.75 0.73 0.73 49772193
Accuracy: 0.7255765885180104
precision recall f1-score support
0 0.02 0.07 0.03 169
1 1.00 0.99 0.99 65234
accuracy 0.99 65403
macro avg 0.51 0.53 0.51 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.989190098313533
80-90%
precision recall f1-score support
0 0.01 0.07 0.02 15
1 1.00 0.99 0.99 7371
accuracy 0.99 7386
macro avg 0.51 0.53 0.51 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9883563498510696
90-100%
precision recall f1-score support
0 0.06 0.22 0.09 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.53 0.61 0.54 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9857994389901823
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7356635293205022
0-1%
precision recall f1-score support
0 0.78 0.76 0.77 27764588
1 0.62 0.65 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7159833726309979
1-10%
precision recall f1-score support
0 0.09 0.05 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.89 4452351
Accuracy: 0.9088562424660589
10-20%
precision recall f1-score support
0 0.02 0.03 0.02 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9763910624406412
20-40%
precision recall f1-score support
0 0.01 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9748451157155159
40-80%
precision recall f1-score support
0 0.01 0.11 0.02 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.54 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9641759552314114
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9568101814243163
90-100%
precision recall f1-score support
0 0.01 0.22 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.51 0.59 0.50 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9507363253856943
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.7116202794307708
0-1%
precision recall f1-score support
0 0.70 0.88 0.78 27764588
1 0.68 0.39 0.50 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6969017394479803
1-10%
precision recall f1-score support
0 0.08 0.15 0.11 287564
1 0.94 0.89 0.91 4164787
accuracy 0.84 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.84 0.86 4452351
Accuracy: 0.8377809835747451
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.95 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9370979463300406
20-40%
precision recall f1-score support
0 0.01 0.12 0.01 659
1 1.00 0.92 0.96 130568
accuracy 0.92 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.92 0.95 131227
Accuracy: 0.91796657700016
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.88 0.94 65234
accuracy 0.88 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.88 0.93 65403
Accuracy: 0.8798067366940354
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.86 0.92 7371
accuracy 0.86 7386
macro avg 0.50 0.50 0.46 7386
weighted avg 1.00 0.86 0.92 7386
Accuracy: 0.8575683725968047
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.86 0.92 5686
accuracy 0.85 5704
macro avg 0.50 0.59 0.47 5704
weighted avg 0.99 0.85 0.92 5704
Accuracy: 0.8539621318373072
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.90 0.15 0.26 21729815
accuracy 0.62 49785283
macro avg 0.75 0.57 0.50 49785283
weighted avg 0.73 0.62 0.53 49785283
Accuracy: 0.6226645532978089
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.78 0.05 0.09 17098553
accuracy 0.63 44863141
macro avg 0.71 0.52 0.43 44863141
weighted avg 0.69 0.63 0.51 44863141
Accuracy: 0.6318400443696085
1-10%
precision recall f1-score support
0 0.07 0.56 0.13 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.52 0.64 4452351
Accuracy: 0.5229810048668669
10-20%
precision recall f1-score support
0 0.01 0.25 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.51 0.44 260071
weighted avg 0.98 0.76 0.86 260071
Accuracy: 0.7600386048425237
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.67 131227
macro avg 0.50 0.51 0.41 131227
weighted avg 0.99 0.67 0.80 131227
Accuracy: 0.6670807074763577
40-80%
precision recall f1-score support
0 0.00 0.50 0.01 169
1 1.00 0.52 0.68 65234
accuracy 0.52 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5198232496980261
80-90%
precision recall f1-score support
0 0.00 0.53 0.00 15
1 1.00 0.42 0.59 7371
accuracy 0.42 7386
macro avg 0.50 0.48 0.30 7386
weighted avg 1.00 0.42 0.59 7386
Accuracy: 0.4217438396967235
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.42 0.59 5686
accuracy 0.42 5704
macro avg 0.50 0.49 0.30 5704
weighted avg 0.99 0.42 0.59 5704
Accuracy: 0.41917952314165496
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 28055468
1 0.95 0.03 0.06 21729815
accuracy 0.58 49785283
macro avg 0.76 0.51 0.39 49785283
weighted avg 0.74 0.58 0.44 49785283
Accuracy: 0.5763193713290733
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.56 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.59 0.50 0.38 44863141
weighted avg 0.60 0.62 0.47 44863141
Accuracy: 0.6189191256136078
1-10%
precision recall f1-score support
0 0.07 0.92 0.13 287564
1 0.96 0.14 0.24 4164787
accuracy 0.19 4452351
macro avg 0.51 0.53 0.18 4452351
weighted avg 0.90 0.19 0.23 4452351
Accuracy: 0.18705465943722765
10-20%
precision recall f1-score support
0 0.01 0.69 0.02 2455
1 0.99 0.31 0.47 257616
accuracy 0.31 260071
macro avg 0.50 0.50 0.24 260071
weighted avg 0.98 0.31 0.46 260071
Accuracy: 0.3102037520523242
20-40%
precision recall f1-score support
0 0.00 0.90 0.01 659
1 0.99 0.09 0.16 130568
accuracy 0.09 131227
macro avg 0.50 0.49 0.08 131227
weighted avg 0.99 0.09 0.16 131227
Accuracy: 0.08940233336127473
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 1.00 0.00 0.00 65403
Accuracy: 0.00449520664189716
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6900730656649948
0-1%
precision recall f1-score support
0 0.97 0.82 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7982951942338417
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.59 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.59 0.52 27835287
Accuracy: 0.5850971825797953
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8686557658009392
20-40%
precision recall f1-score support
0 0.24 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.59 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9285985779396981
40-80%
precision recall f1-score support
0 0.22 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9606002378164292
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9733948208584604
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.60 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.9749484380502037
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341861236240482
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341861236240482
0-1%
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8826342317208923
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8826342317208923
1-10%
precision recall f1-score support
0 0.84 0.66 0.74 25421477
1 0.58 0.79 0.67 14975241
accuracy 0.71 40396718
macro avg 0.71 0.72 0.70 40396718
weighted avg 0.74 0.71 0.71 40396718
Accuracy: 0.7066991432323785
precision recall f1-score support
0 0.68 0.43 0.53 13368467
1 0.61 0.81 0.69 14466820
accuracy 0.63 27835287
macro avg 0.64 0.62 0.61 27835287
weighted avg 0.64 0.63 0.61 27835287
Accuracy: 0.6273036451896472
10-20%
precision recall f1-score support
0 0.84 0.65 0.73 25924842
1 0.62 0.82 0.71 18362515
accuracy 0.72 44287357
macro avg 0.73 0.73 0.72 44287357
weighted avg 0.75 0.72 0.72 44287357
Accuracy: 0.7194057437204934
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.8513390730931346
20-40%
precision recall f1-score support
0 0.84 0.64 0.73 26072330
1 0.65 0.84 0.73 20332940
accuracy 0.73 46405270
macro avg 0.74 0.74 0.73 46405270
weighted avg 0.75 0.73 0.73 46405270
Accuracy: 0.7281674904595965
precision recall f1-score support
0 0.12 0.04 0.06 147488
1 0.93 0.98 0.95 1970425
accuracy 0.91 2117913
macro avg 0.53 0.51 0.51 2117913
weighted avg 0.88 0.91 0.89 2117913
Accuracy: 0.9113830454792052
40-80%
precision recall f1-score support
0 0.83 0.64 0.73 26113946
1 0.66 0.84 0.74 21397219
accuracy 0.73 47511165
macro avg 0.75 0.74 0.73 47511165
weighted avg 0.76 0.73 0.73 47511165
Accuracy: 0.7331493976205382
precision recall f1-score support
0 0.07 0.05 0.06 41616
1 0.96 0.98 0.97 1064279
accuracy 0.94 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.94 0.94 1105895
Accuracy: 0.9421988525131229
80-90%
precision recall f1-score support
0 0.06 0.06 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.95 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.95 0.95 124036
Accuracy: 0.9537311748202135
90-100%
precision recall f1-score support
0 0.06 0.06 0.06 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9557724231601187
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409371391767933
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.9176135266754242
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313735511331354
10-20%
precision recall f1-score support
0 0.18 0.11 0.14 503365
1 0.88 0.92 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8199527121380318
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8805451404283368
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.910039379868794
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.9204343900158019
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.922571557925449
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148143455534849
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.08 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455579543445328
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.53 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5979673570457528
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.75 3890639
Accuracy: 0.7277953570094784
20-40%
precision recall f1-score support
0 0.10 0.24 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7921571849268596
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8188960073062994
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8241800767519107
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8256954575179838
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.57 0.49 47734596
weighted avg 0.70 0.60 0.52 47734596
Accuracy: 0.6040380021232399
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.61 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588680620862384
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.5017235856055661
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33489614430945663
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.42843166834520585
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.46 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4614669566278896
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.46 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.46047921571156764
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.46 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.46 0.61 99395
Accuracy: 0.45620001006086824
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471720762023418
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9594990411522382
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.72 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6929913945377194
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9517591222154314
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.58 24965875
macro avg 0.65 0.66 0.57 24965875
weighted avg 0.73 0.58 0.58 24965875
Accuracy: 0.5750368052391515
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249188351632274
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8414982958114982
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.58 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094442589653798
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372504748706988
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423588321271407
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.65 0.73 24893266
1 0.66 0.85 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7366924730292422
precision recall f1-score support
0 0.83 0.65 0.73 24893266
1 0.66 0.85 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7366924730292422
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834992017363132
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834992017363132
1-10%
precision recall f1-score support
0 0.81 0.65 0.72 16949103
1 0.48 0.69 0.56 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6596058820289695
precision recall f1-score support
0 0.86 0.72 0.79 21822692
1 0.48 0.69 0.56 8020644
accuracy 0.71 29843336
macro avg 0.67 0.70 0.67 29843336
weighted avg 0.76 0.71 0.73 29843336
Accuracy: 0.7125415536654481
10-20%
precision recall f1-score support
0 0.85 0.67 0.75 23880186
1 0.57 0.79 0.66 13481800
accuracy 0.71 37361986
macro avg 0.71 0.73 0.71 37361986
weighted avg 0.75 0.71 0.72 37361986
Accuracy: 0.7125601674386367
precision recall f1-score support
0 0.42 0.13 0.19 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7126340499956774
20-40%
precision recall f1-score support
0 0.84 0.65 0.73 24625160
1 0.63 0.82 0.71 17542339
accuracy 0.72 42167499
macro avg 0.73 0.74 0.72 42167499
weighted avg 0.75 0.72 0.73 42167499
Accuracy: 0.7247647293475954
precision recall f1-score support
0 0.25 0.08 0.13 744974
1 0.85 0.95 0.90 4060539
accuracy 0.82 4805513
macro avg 0.55 0.52 0.51 4805513
weighted avg 0.76 0.82 0.78 4805513
Accuracy: 0.8196529694124228
40-80%
precision recall f1-score support
0 0.16 0.08 0.10 235909
1 0.92 0.96 0.94 2483775
accuracy 0.88 2719684
macro avg 0.54 0.52 0.52 2719684
weighted avg 0.85 0.88 0.87 2719684
Accuracy: 0.8846141684107418
precision recall f1-score support
0 0.84 0.65 0.73 24861069
1 0.66 0.84 0.74 20026114
accuracy 0.73 44887183
macro avg 0.75 0.74 0.73 44887183
weighted avg 0.76 0.73 0.73 44887183
Accuracy: 0.7344498985378521
80-90%
precision recall f1-score support
0 0.12 0.08 0.09 18577
1 0.94 0.96 0.95 296772
accuracy 0.91 315349
macro avg 0.53 0.52 0.52 315349
weighted avg 0.89 0.91 0.90 315349
Accuracy: 0.9114885412669772
90-100%
precision recall f1-score support
0 0.10 0.07 0.09 13620
1 0.95 0.96 0.96 240209
accuracy 0.92 253829
macro avg 0.53 0.52 0.52 253829
weighted avg 0.90 0.92 0.91 253829
Accuracy: 0.9161088764483176
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428688363329392
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929309532152076
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6879734838053944
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6884822408278082
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7853706773865766
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.846118151961772
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.8717547859672934
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8770668442140181
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.64 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7167501155668841
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978810696794911
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6979341601285755
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5978731554201885
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6913786311679939
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7468573554868875
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7707206935807629
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7772910108774017
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.51 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6085714824378484
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.53 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991608338846789
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6863939677660006
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3544235999813796
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.35 0.38 4805513
Accuracy: 0.34678961434502414
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.37 0.53 2483775
accuracy 0.40 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.40 0.49 2719684
Accuracy: 0.39642436400699493
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.43 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.43 0.55 315349
Accuracy: 0.4260454290325956
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.56 253829
Accuracy: 0.4328110657174712
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886571366362374
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7289502560581335
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5069575252407384
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6575041325647266
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7901089869572986
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478597119640029
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8596662865374227
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7380751363331257
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7380751363331257
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
1-10%
precision recall f1-score support
0 0.94 0.89 0.91 12989887
1 0.27 0.42 0.33 1271288
accuracy 0.85 14261175
macro avg 0.61 0.65 0.62 14261175
weighted avg 0.88 0.85 0.86 14261175
Accuracy: 0.8480883938385161
precision recall f1-score support
0 0.93 0.88 0.90 11439888
1 0.27 0.42 0.33 1271288
accuracy 0.83 12711176
macro avg 0.60 0.65 0.62 12711176
weighted avg 0.87 0.83 0.85 12711176
Accuracy: 0.8295643927831697
10-20%
precision recall f1-score support
0 0.89 0.77 0.83 18034328
1 0.46 0.68 0.54 5083660
accuracy 0.75 23117988
macro avg 0.68 0.72 0.69 23117988
weighted avg 0.80 0.75 0.77 23117988
Accuracy: 0.7513015406011977
precision recall f1-score support
0 0.72 0.47 0.57 5044441
1 0.52 0.76 0.62 3812372
accuracy 0.60 8856813
macro avg 0.62 0.62 0.59 8856813
weighted avg 0.64 0.60 0.59 8856813
Accuracy: 0.5954560630330572
20-40%
precision recall f1-score support
0 0.55 0.23 0.33 2995598
1 0.69 0.90 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.55 8578813
weighted avg 0.64 0.67 0.62 8578813
Accuracy: 0.6660389963040342
40-80%
precision recall f1-score support
0 0.85 0.66 0.75 22324987
1 0.64 0.83 0.72 15668439
accuracy 0.73 37993426
macro avg 0.74 0.75 0.73 37993426
weighted avg 0.76 0.73 0.74 37993426
Accuracy: 0.7348150177349102
precision recall f1-score support
0 0.36 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.73 6296625
Accuracy: 0.7679885653028408
80-90%
precision recall f1-score support
0 0.28 0.16 0.20 117971
1 0.87 0.93 0.90 692761
accuracy 0.82 810732
macro avg 0.57 0.54 0.55 810732
weighted avg 0.78 0.82 0.80 810732
Accuracy: 0.8173909504003789
90-100%
precision recall f1-score support
0 0.26 0.15 0.19 88944
1 0.88 0.93 0.90 577496
accuracy 0.83 666440
macro avg 0.57 0.54 0.55 666440
weighted avg 0.79 0.83 0.81 666440
Accuracy: 0.8274458315827381
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480763022642829
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.863745494516007
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6257444974845918
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613930155605443
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355327655688564
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.7745383184578875
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.7838875217573975
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.7295519059528817
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877083442161449
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.629026716494974
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154998366324106
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6527463522124948
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.6739588421327887
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813891723185883
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.648759767967032
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.899239928705259
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995566351011362
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.46709667176566266
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.4279365533122903
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41600306883162375
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.41627303283116257
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.70 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7257770333453764
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7021744866236629
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766295172008965
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766295172008965
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471380570522247
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471380570522247
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7641360852691077
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.7653238955652405
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7659301878073398
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.776866930735334
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7588701156702337
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9354087312523204
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690296548078275
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502877027714132
1-10%
precision recall f1-score support
0 0.11 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9342538357824889
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905410445609084
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.35 0.50 21729815
accuracy 0.69 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.69 0.66 49785283
Accuracy: 0.694558209099665
0-1%
precision recall f1-score support
0 0.67 0.97 0.79 27764588
1 0.79 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6781949351250284
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.833451585465746
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9368441694767967
20-40%
precision recall f1-score support
0 0.01 0.09 0.02 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9447674640127413
40-80%
precision recall f1-score support
0 0.01 0.15 0.01 169
1 1.00 0.95 0.97 65234
accuracy 0.95 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.95 0.97 65403
Accuracy: 0.9471889668669633
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.95 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9505821825074465
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9481065918653576
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020233710577545
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.861267637421246
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768482645786982
10-20%
precision recall f1-score support
0 0.18 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696370956030616
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300216769999523
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9622577188611938
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410362915818959
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410363125310624
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262706613601587
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262706613601587
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.76 0.71 0.72 40396718
Accuracy: 0.7132826483577206
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6171659735356779
10-20%
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8554936605529323
20-40%
precision recall f1-score support
0 0.85 0.64 0.73 26072330
1 0.65 0.86 0.74 20332940
accuracy 0.73 46405270
macro avg 0.75 0.75 0.73 46405270
weighted avg 0.76 0.73 0.73 46405270
Accuracy: 0.7347420454616469
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9222324052026688
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399448950578248
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9582654772831055
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721613080073527
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9743146033502691
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7474979153484403
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442247463684671
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252443166833523
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8299675194743075
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069258274537245
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500513159025044
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.966880583056532
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9694954474571156
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.703846723663483
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548723389874928
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5968417354561496
10-20%
precision recall f1-score support
0 0.15 0.36 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6519402082794111
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7003502976751169
40-80%
precision recall f1-score support
0 0.04 0.31 0.08 41616
1 0.96 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7280835884057709
80-90%
precision recall f1-score support
0 0.03 0.30 0.05 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7379147989293431
90-100%
precision recall f1-score support
0 0.03 0.28 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7400573469490417
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.82 0.02 0.03 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.37 47734596
weighted avg 0.67 0.55 0.40 47734596
Accuracy: 0.5529226014607938
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.46 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.71 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595244363480562
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.71 0.01 0.02 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4835334013261656
10-20%
precision recall f1-score support
0 0.13 0.98 0.23 503365
1 0.88 0.03 0.05 3387274
accuracy 0.15 3890639
macro avg 0.51 0.50 0.14 3890639
weighted avg 0.78 0.15 0.08 3890639
Accuracy: 0.14965665023149155
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.94 0.03 0.06 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.10 2117913
weighted avg 0.88 0.10 0.07 2117913
Accuracy: 0.09791384254216297
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.97 0.04 0.07 1064279
accuracy 0.07 1105895
macro avg 0.50 0.50 0.07 1105895
weighted avg 0.93 0.07 0.07 1105895
Accuracy: 0.07080057329131609
80-90%
precision recall f1-score support
0 0.03 0.97 0.05 3093
1 0.98 0.04 0.07 120943
accuracy 0.06 124036
macro avg 0.50 0.50 0.06 124036
weighted avg 0.96 0.06 0.07 124036
Accuracy: 0.06039375665129479
90-100%
precision recall f1-score support
0 0.02 0.97 0.05 2328
1 0.98 0.04 0.07 97067
accuracy 0.06 99395
macro avg 0.50 0.50 0.06 99395
weighted avg 0.96 0.06 0.07 99395
Accuracy: 0.05859449670506565
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.71 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6377514909299493
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9205190979487073
1-10%
precision recall f1-score support
0 0.89 0.27 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.48552678406024224
10-20%
precision recall f1-score support
0 0.41 0.06 0.10 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.718843675393854
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8318025567717744
40-80%
precision recall f1-score support
0 0.14 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8997626194807926
80-90%
precision recall f1-score support
0 0.09 0.02 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.51 0.50 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9277720874332882
90-100%
precision recall f1-score support
0 0.08 0.02 0.03 13620
1 0.95 0.98 0.97 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.92 253829
Accuracy: 0.9331124497200871
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798796982450926
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798797202442141
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9683058460129154
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9683058460129154
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5884040114756642
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.650493497107696
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582244048804043
precision recall f1-score support
0 0.39 0.24 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6889102431952545
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699554080738818
precision recall f1-score support
0 0.23 0.22 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7611618156063671
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8040147311231746
precision recall f1-score support
0 0.81 0.54 0.65 24861069
1 0.60 0.84 0.70 20026114
accuracy 0.68 44887183
macro avg 0.71 0.69 0.68 44887183
weighted avg 0.72 0.68 0.67 44887183
Accuracy: 0.6780779716116291
80-90%
precision recall f1-score support
0 0.09 0.21 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8201357860655971
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8242517600431787
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992710877142145
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858723626903424
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6459158351149319
10-20%
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6641225485958251
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7119543740699484
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7391696976560512
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7485452625503807
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.78 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.7522347722285475
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008948736981385
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9674109467167398
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47123838109078187
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.512843954140163
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608401418704429
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.764922478311794
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.808783913796421
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8172918792389412
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950427252204286
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950427252204286
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992832253440164
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992832253440164
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7582692870678608
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7288800815911919
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7013371578876155
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096654631863628
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6909201657290274
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628486948019499
40-80%
precision recall f1-score support
0 0.33 0.41 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.70798864471046
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7265989254155504
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.73041384070584
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205077308430949
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353577198521993
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560384644002306
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.640384398167905
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639221487701745
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.637287044300706
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373702058699958
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930358643160157
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.903030765996789
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.40 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643726134897507
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5504544742961526
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48422305600222343
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.45620007598071866
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4511448892623492
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.71 0.78 28055468
1 0.69 0.85 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7702978609160462
0-1%
precision recall f1-score support
0 0.86 0.71 0.78 27764588
1 0.64 0.81 0.71 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.78 0.75 0.76 44863141
Accuracy: 0.7515798994100747
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658230244468028
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.76582304453306
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7466908302296533
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7466908525196664
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9346399239413065
precision recall f1-score support
0 0.75 0.87 0.81 28052152
1 0.78 0.63 0.70 21263340
accuracy 0.76 49315492
macro avg 0.77 0.75 0.75 49315492
weighted avg 0.77 0.76 0.76 49315492
Accuracy: 0.7636594399179877
10-20%
precision recall f1-score support
0 0.75 0.87 0.81 28054607
1 0.78 0.63 0.70 21520956
accuracy 0.76 49575563
macro avg 0.77 0.75 0.75 49575563
weighted avg 0.77 0.76 0.76 49575563
Accuracy: 0.7648497506725239
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.75 0.87 0.81 28055266
1 0.79 0.63 0.70 21651524
accuracy 0.77 49706790
macro avg 0.77 0.75 0.75 49706790
weighted avg 0.77 0.77 0.76 49706790
Accuracy: 0.7654572946673885
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.75 0.87 0.81 28055435
1 0.79 0.64 0.70 21716758
accuracy 0.77 49772193
macro avg 0.77 0.75 0.75 49772193
weighted avg 0.77 0.77 0.76 49772193
Accuracy: 0.7657620993312471
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.94 0.79 28055468
1 0.85 0.43 0.57 21729815
accuracy 0.72 49785283
macro avg 0.77 0.68 0.68 49785283
weighted avg 0.76 0.72 0.69 49785283
Accuracy: 0.7171279713324116
0-1%
precision recall f1-score support
0 0.68 0.95 0.80 27764588
1 0.78 0.28 0.41 17098553
accuracy 0.70 44863141
macro avg 0.73 0.62 0.60 44863141
weighted avg 0.72 0.70 0.65 44863141
Accuracy: 0.6962463684832054
1-10%
precision recall f1-score support
0 0.09 0.07 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.8990344651623379
10-20%
precision recall f1-score support
0 0.03 0.02 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9839543816880775
20-40%
precision recall f1-score support
0 0.04 0.05 0.04 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.52 0.52 0.52 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9902459097594245
40-80%
precision recall f1-score support
0 0.04 0.07 0.05 169
1 1.00 1.00 1.00 65234
accuracy 0.99 65403
macro avg 0.52 0.53 0.52 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9930125529409966
80-90%
precision recall f1-score support
0 0.03 0.07 0.05 15
1 1.00 1.00 1.00 7371
accuracy 0.99 7386
macro avg 0.52 0.53 0.52 7386
weighted avg 1.00 0.99 1.00 7386
Accuracy: 0.9943135662063363
90-100%
precision recall f1-score support
0 0.15 0.22 0.18 18
1 1.00 1.00 1.00 5686
accuracy 0.99 5704
macro avg 0.58 0.61 0.59 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9936886395511921
Treshold: 0.7
All
precision recall f1-score support
0 0.59 1.00 0.74 28055468
1 0.94 0.09 0.17 21729815
accuracy 0.60 49785283
macro avg 0.76 0.54 0.45 49785283
weighted avg 0.74 0.60 0.49 49785283
Accuracy: 0.601623033859223
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.84 0.02 0.03 17098553
accuracy 0.62 44863141
macro avg 0.73 0.51 0.40 44863141
weighted avg 0.70 0.62 0.49 44863141
Accuracy: 0.6238536887107392
1-10%
precision recall f1-score support
0 0.07 0.72 0.13 287564
1 0.95 0.35 0.51 4164787
accuracy 0.37 4452351
macro avg 0.51 0.54 0.32 4452351
weighted avg 0.89 0.37 0.49 4452351
Accuracy: 0.3740320563226035
10-20%
precision recall f1-score support
0 0.01 0.39 0.02 2455
1 0.99 0.62 0.76 257616
accuracy 0.62 260071
macro avg 0.50 0.51 0.39 260071
weighted avg 0.98 0.62 0.76 260071
Accuracy: 0.6203344471317448
20-40%
precision recall f1-score support
0 0.01 0.40 0.01 659
1 1.00 0.65 0.79 130568
accuracy 0.65 131227
macro avg 0.50 0.53 0.40 131227
weighted avg 0.99 0.65 0.78 131227
Accuracy: 0.6495233450433219
40-80%
precision recall f1-score support
0 0.00 0.40 0.01 169
1 1.00 0.66 0.80 65234
accuracy 0.66 65403
macro avg 0.50 0.53 0.40 65403
weighted avg 1.00 0.66 0.79 65403
Accuracy: 0.6626760240355947
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.66 0.79 7371
accuracy 0.66 7386
macro avg 0.50 0.50 0.40 7386
weighted avg 1.00 0.66 0.79 7386
Accuracy: 0.657053885729759
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.68 0.81 5686
accuracy 0.68 5704
macro avg 0.50 0.56 0.41 5704
weighted avg 0.99 0.68 0.80 5704
Accuracy: 0.6758415147265077
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.67 0.86 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7420814664483596
0-1%
precision recall f1-score support
0 0.97 0.96 0.96 12053010
1 0.19 0.24 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.60 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9284317208763874
1-10%
precision recall f1-score support
0 0.68 0.39 0.50 13368467
1 0.60 0.83 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.63 0.62 0.60 27835287
Accuracy: 0.618272087512516
10-20%
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8540142120613092
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9214061200814198
40-80%
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9578305354486637
80-90%
precision recall f1-score support
0 0.04 0.01 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9718871940404399
90-100%
precision recall f1-score support
0 0.03 0.00 0.01 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9740832033804517
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7006605230302986
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7006605439794651
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552593171908519
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552593171908519
1-10%
precision recall f1-score support
0 0.73 0.86 0.79 25421477
1 0.65 0.45 0.53 14975241
accuracy 0.71 40396718
macro avg 0.69 0.65 0.66 40396718
weighted avg 0.70 0.71 0.69 40396718
Accuracy: 0.7062878969524208
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.65 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.593932765988725
10-20%
precision recall f1-score support
0 0.70 0.85 0.77 25924842
1 0.70 0.49 0.58 18362515
accuracy 0.70 44287357
macro avg 0.70 0.67 0.67 44287357
weighted avg 0.70 0.70 0.69 44287357
Accuracy: 0.7006324175091324
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.6419112644478195
20-40%
precision recall f1-score support
0 0.69 0.85 0.76 26072330
1 0.72 0.51 0.60 20332940
accuracy 0.70 46405270
macro avg 0.71 0.68 0.68 46405270
weighted avg 0.70 0.70 0.69 46405270
Accuracy: 0.7001336055150633
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.72 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6897030236841646
40-80%
precision recall f1-score support
0 0.68 0.85 0.76 26113946
1 0.73 0.52 0.61 21397219
accuracy 0.70 47511165
macro avg 0.71 0.68 0.68 47511165
weighted avg 0.71 0.70 0.69 47511165
Accuracy: 0.7005308120733306
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.96 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.72 0.80 1105895
Accuracy: 0.7171982873600116
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7272646650972299
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.7294632526787062
Treshold: 0.6
All
precision recall f1-score support
0 0.59 0.95 0.73 26119367
1 0.77 0.18 0.30 21615229
accuracy 0.61 47734596
macro avg 0.68 0.57 0.51 47734596
weighted avg 0.67 0.61 0.53 47734596
Accuracy: 0.6058102178135121
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.00 0.01 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9591168394747381
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.59 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.5188298938681681
10-20%
precision recall f1-score support
0 0.13 0.75 0.23 503365
1 0.88 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.51 0.32 3890639
weighted avg 0.78 0.33 0.39 3890639
Accuracy: 0.33223976832597424
20-40%
precision recall f1-score support
0 0.07 0.73 0.13 147488
1 0.94 0.30 0.45 1970425
accuracy 0.33 2117913
macro avg 0.50 0.51 0.29 2117913
weighted avg 0.88 0.33 0.43 2117913
Accuracy: 0.3290800896920695
40-80%
precision recall f1-score support
0 0.04 0.72 0.07 41616
1 0.97 0.31 0.47 1064279
accuracy 0.33 1105895
macro avg 0.50 0.52 0.27 1105895
weighted avg 0.93 0.33 0.46 1105895
Accuracy: 0.3300340448234236
80-90%
precision recall f1-score support
0 0.03 0.72 0.05 3093
1 0.98 0.32 0.48 120943
accuracy 0.33 124036
macro avg 0.50 0.52 0.27 124036
weighted avg 0.95 0.33 0.47 124036
Accuracy: 0.3316537134380341
90-100%
precision recall f1-score support
0 0.02 0.71 0.05 2328
1 0.98 0.32 0.48 97067
accuracy 0.33 99395
macro avg 0.50 0.51 0.26 99395
weighted avg 0.96 0.33 0.47 99395
Accuracy: 0.3293827657326827
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.56 0.66 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.70 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6821266224984441
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.64 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.969937227586238
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5947890470492222
10-20%
precision recall f1-score support
0 0.39 0.26 0.31 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6867158332945409
20-40%
precision recall f1-score support
0 0.23 0.24 0.23 744974
1 0.86 0.85 0.85 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7559848449062566
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.88 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7969161123130482
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.89 296772
accuracy 0.81 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.812280996610105
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8161045428221362
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7088039811304607
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678817443799063
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299711871527602
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623973503094193
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927736684334862
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044781752786371
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071289238341036
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905719108916437
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174659490263599
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.658861601797396
20-40%
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7405322070198819
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5332129281754947
40-80%
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6937499134718728
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45825088837273936
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4263936787989126
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42081657763639635
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5742800501781098
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9005151844329746
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5725063857620117
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.3544904172640201
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21284862922597422
80-90%
precision recall f1-score support
0 0.15 0.99 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15348845241090767
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.82 0.14 0.05 666440
Accuracy: 0.1413720665026109
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.90 0.64 0.75 28055468
1 0.66 0.90 0.76 21729815
accuracy 0.75 49785283
macro avg 0.78 0.77 0.75 49785283
weighted avg 0.79 0.75 0.75 49785283
Accuracy: 0.7542801353564667
0-1%
precision recall f1-score support
0 0.90 0.65 0.75 27764588
1 0.60 0.88 0.72 17098553
accuracy 0.73 44863141
macro avg 0.75 0.76 0.73 44863141
weighted avg 0.78 0.73 0.74 44863141
Accuracy: 0.7338047953441333
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7774990050774644
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.777499065336236
0-1%
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595720504723465
1-10%
precision recall f1-score support
0 0.15 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.54 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9354042392434918
precision recall f1-score support
0 0.81 0.79 0.80 28052152
1 0.73 0.76 0.74 21263340
accuracy 0.78 49315492
macro avg 0.77 0.77 0.77 49315492
weighted avg 0.78 0.78 0.78 49315492
Accuracy: 0.775446648692058
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.81 0.79 0.80 28055266
1 0.74 0.76 0.75 21651524
accuracy 0.78 49706790
macro avg 0.77 0.78 0.77 49706790
weighted avg 0.78 0.78 0.78 49706790
Accuracy: 0.7771517130758192
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.81 0.79 0.80 28055435
1 0.74 0.76 0.75 21716758
accuracy 0.78 49772193
macro avg 0.77 0.78 0.77 49772193
weighted avg 0.78 0.78 0.78 49772193
Accuracy: 0.7774411507244617
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.63 0.70 21729815
accuracy 0.76 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.76 0.76 49785283
Accuracy: 0.764475136156201
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.53 0.61 17098553
accuracy 0.75 44863141
macro avg 0.74 0.70 0.71 44863141
weighted avg 0.74 0.75 0.73 44863141
Accuracy: 0.7452551527767527
1-10%
precision recall f1-score support
0 0.11 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9340352995529777
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905448896647454
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.95 0.78 28055468
1 0.86 0.38 0.53 21729815
accuracy 0.70 49785283
macro avg 0.76 0.67 0.66 49785283
weighted avg 0.75 0.70 0.67 49785283
Accuracy: 0.7033423511924196
0-1%
precision recall f1-score support
0 0.67 0.96 0.79 27764588
1 0.79 0.23 0.36 17098553
accuracy 0.68 44863141
macro avg 0.73 0.60 0.58 44863141
weighted avg 0.72 0.68 0.63 44863141
Accuracy: 0.684348070947596
1-10%
precision recall f1-score support
0 0.09 0.11 0.10 287564
1 0.94 0.92 0.93 4164787
accuracy 0.87 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.87 0.87 4452351
Accuracy: 0.8665846425854565
10-20%
precision recall f1-score support
0 0.02 0.05 0.03 2455
1 0.99 0.97 0.98 257616
accuracy 0.97 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.97 0.97 260071
Accuracy: 0.966070803742055
20-40%
precision recall f1-score support
0 0.01 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.973915428989461
40-80%
precision recall f1-score support
0 0.01 0.09 0.02 169
1 1.00 0.98 0.99 65234
accuracy 0.98 65403
macro avg 0.50 0.54 0.50 65403
weighted avg 1.00 0.98 0.99 65403
Accuracy: 0.9768970842316101
80-90%
precision recall f1-score support
0 0.01 0.07 0.01 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.52 0.50 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.9798266991605741
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 18
1 1.00 0.98 0.99 5686
accuracy 0.98 5704
macro avg 0.52 0.60 0.52 5704
weighted avg 0.99 0.98 0.99 5704
Accuracy: 0.9773842917251052
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.98 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.77 0.50 0.36 49785283
weighted avg 0.75 0.56 0.41 49785283
Accuracy: 0.563574460348051
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.72 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.67 0.50 0.38 44863141
weighted avg 0.66 0.62 0.47 44863141
Accuracy: 0.6188733419267278
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.98 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.52 0.50 0.06 4452351
weighted avg 0.92 0.06 0.01 4452351
Accuracy: 0.0648529282619452
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.99 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.98 0.01 0.00 260071
Accuracy: 0.011458409434346775
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.99 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 0.99 0.01 0.00 131227
Accuracy: 0.007269845382428921
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.01 65234
accuracy 0.01 65403
macro avg 0.50 0.50 0.01 65403
weighted avg 1.00 0.01 0.01 65403
Accuracy: 0.005443175389508127
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.01 7371
accuracy 0.01 7386
macro avg 0.50 0.50 0.01 7386
weighted avg 1.00 0.01 0.01 7386
Accuracy: 0.005415651232060655
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.01 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.01 5704
Accuracy: 0.005960729312762973
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.57 0.69 26119367
1 0.64 0.92 0.75 21615229
accuracy 0.73 47734596
macro avg 0.76 0.74 0.72 47734596
weighted avg 0.78 0.73 0.72 47734596
Accuracy: 0.7263907921206665
0-1%
precision recall f1-score support
0 0.97 0.93 0.95 12053010
1 0.17 0.36 0.23 508421
accuracy 0.90 12561431
macro avg 0.57 0.64 0.59 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.9026405510646041
1-10%
precision recall f1-score support
0 0.72 0.28 0.40 13368467
1 0.57 0.90 0.70 14466820
accuracy 0.60 27835287
macro avg 0.65 0.59 0.55 27835287
weighted avg 0.64 0.60 0.56 27835287
Accuracy: 0.6007281333222826
10-20%
precision recall f1-score support
0 0.18 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.52 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8655778652298504
20-40%
precision recall f1-score support
0 0.10 0.00 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9280154567255595
40-80%
precision recall f1-score support
0 0.06 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9613064531442859
80-90%
precision recall f1-score support
0 0.05 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9743784062691476
90-100%
precision recall f1-score support
0 0.03 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9759545248754967
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7468403838591197
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7468403838591197
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464279985297853
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464279985297853
1-10%
precision recall f1-score support
0 0.80 0.75 0.77 25421477
1 0.62 0.68 0.65 14975241
accuracy 0.72 40396718
macro avg 0.71 0.72 0.71 40396718
weighted avg 0.73 0.72 0.73 40396718
Accuracy: 0.7245799275079723
precision recall f1-score support
0 0.63 0.54 0.58 13368467
1 0.62 0.70 0.66 14466820
accuracy 0.62 27835287
macro avg 0.62 0.62 0.62 27835287
weighted avg 0.62 0.62 0.62 27835287
Accuracy: 0.6244649462389232
10-20%
precision recall f1-score support
0 0.79 0.74 0.76 25924842
1 0.66 0.73 0.69 18362515
accuracy 0.73 44287357
macro avg 0.73 0.73 0.73 44287357
weighted avg 0.74 0.73 0.73 44287357
Accuracy: 0.7332561751201364
precision recall f1-score support
0 0.15 0.08 0.11 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.82 0.80 3890639
Accuracy: 0.8233421296604491
20-40%
precision recall f1-score support
0 0.79 0.73 0.76 26072330
1 0.69 0.75 0.72 20332940
accuracy 0.74 46405270
macro avg 0.74 0.74 0.74 46405270
weighted avg 0.75 0.74 0.74 46405270
Accuracy: 0.7409923700476261
precision recall f1-score support
0 0.08 0.04 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.90 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.90 0.89 2117913
Accuracy: 0.9027627669314084
40-80%
precision recall f1-score support
0 0.79 0.73 0.76 26113946
1 0.70 0.76 0.73 21397219
accuracy 0.75 47511165
macro avg 0.74 0.75 0.74 47511165
weighted avg 0.75 0.75 0.75 47511165
Accuracy: 0.7458066119826782
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.50 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9478205435416563
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9653971427650037
90-100%
precision recall f1-score support
0 0.02 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9682478997937523
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.52 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.68 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.6995994896447851
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9553086746247302
1-10%
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.593221043490588
10-20%
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.76 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.69 3890639
Accuracy: 0.6381291093828032
20-40%
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.71 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6850007530998676
40-80%
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.96 0.73 0.83 1064279
accuracy 0.71 1105895
macro avg 0.50 0.53 0.45 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.7121290900130663
80-90%
precision recall f1-score support
0 0.03 0.32 0.05 3093
1 0.98 0.73 0.84 120943
accuracy 0.72 124036
macro avg 0.50 0.52 0.45 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7219516914444194
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.52 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7242517229236883
Treshold: 0.7
All
precision recall f1-score support
0 0.57 0.97 0.72 26119367
1 0.78 0.13 0.22 21615229
accuracy 0.59 47734596
macro avg 0.68 0.55 0.47 47734596
weighted avg 0.67 0.59 0.50 47734596
Accuracy: 0.5894396173374967
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.24 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.959325573654785
1-10%
precision recall f1-score support
0 0.49 0.95 0.65 13368467
1 0.68 0.10 0.17 14466820
accuracy 0.51 27835287
macro avg 0.59 0.52 0.41 27835287
weighted avg 0.59 0.51 0.40 27835287
Accuracy: 0.5070879994878443
10-20%
precision recall f1-score support
0 0.13 0.82 0.23 503365
1 0.88 0.20 0.32 3387274
accuracy 0.28 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.78 0.28 0.31 3890639
Accuracy: 0.27744619842653095
20-40%
precision recall f1-score support
0 0.07 0.80 0.13 147488
1 0.94 0.22 0.36 1970425
accuracy 0.26 2117913
macro avg 0.50 0.51 0.24 2117913
weighted avg 0.88 0.26 0.34 2117913
Accuracy: 0.26135492817693645
40-80%
precision recall f1-score support
0 0.04 0.80 0.07 41616
1 0.97 0.23 0.38 1064279
accuracy 0.25 1105895
macro avg 0.50 0.51 0.23 1105895
weighted avg 0.93 0.25 0.37 1105895
Accuracy: 0.2548144263243798
80-90%
precision recall f1-score support
0 0.03 0.79 0.05 3093
1 0.98 0.24 0.39 120943
accuracy 0.25 124036
macro avg 0.50 0.52 0.22 124036
weighted avg 0.95 0.25 0.38 124036
Accuracy: 0.25412783385468735
90-100%
precision recall f1-score support
0 0.02 0.79 0.05 2328
1 0.98 0.24 0.38 97067
accuracy 0.25 99395
macro avg 0.50 0.51 0.21 99395
weighted avg 0.96 0.25 0.37 99395
Accuracy: 0.2508275064138035
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.47 0.60 24893266
1 0.58 0.89 0.70 20563095
accuracy 0.66 45456361
macro avg 0.71 0.68 0.65 45456361
weighted avg 0.72 0.66 0.65 45456361
Accuracy: 0.6620013423423842
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9495253780604294
1-10%
precision recall f1-score support
0 0.87 0.39 0.54 16949103
1 0.40 0.87 0.55 8016772
accuracy 0.55 24965875
macro avg 0.63 0.63 0.54 24965875
weighted avg 0.72 0.55 0.54 24965875
Accuracy: 0.5450160268766867
10-20%
precision recall f1-score support
0 0.40 0.17 0.24 2057494
1 0.74 0.90 0.81 5461156
accuracy 0.70 7518650
macro avg 0.57 0.54 0.53 7518650
weighted avg 0.65 0.70 0.66 7518650
Accuracy: 0.7018285197475611
20-40%
precision recall f1-score support
0 0.23 0.15 0.18 744974
1 0.85 0.91 0.88 4060539
accuracy 0.79 4805513
macro avg 0.54 0.53 0.53 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7899518740246879
40-80%
precision recall f1-score support
0 0.13 0.14 0.14 235909
1 0.92 0.91 0.91 2483775
accuracy 0.84 2719684
macro avg 0.52 0.53 0.52 2719684
weighted avg 0.85 0.84 0.85 2719684
Accuracy: 0.8417654403967519
80-90%
precision recall f1-score support
0 0.09 0.14 0.11 18577
1 0.94 0.91 0.93 296772
accuracy 0.86 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.86 0.88 315349
Accuracy: 0.8621210151292695
90-100%
precision recall f1-score support
0 0.08 0.14 0.10 13620
1 0.95 0.91 0.93 240209
accuracy 0.87 253829
macro avg 0.51 0.52 0.51 253829
weighted avg 0.90 0.87 0.88 253829
Accuracy: 0.8665873481753464
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7003292014510356
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7003292014510356
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.52 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.75 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9884956537838027
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.48 0.71 0.57 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6565969748706985
10-20%
precision recall f1-score support
0 0.82 0.68 0.74 23880186
1 0.56 0.73 0.64 13481800
accuracy 0.70 37361986
macro avg 0.69 0.70 0.69 37361986
weighted avg 0.72 0.70 0.70 37361986
Accuracy: 0.6992152130242756
precision recall f1-score support
0 0.37 0.39 0.38 2057494
1 0.77 0.75 0.76 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.66 7518650
Accuracy: 0.6530696335113352
20-40%
precision recall f1-score support
0 0.78 0.68 0.72 24625160
1 0.62 0.73 0.67 17542339
accuracy 0.70 42167499
macro avg 0.70 0.70 0.70 42167499
weighted avg 0.71 0.70 0.70 42167499
Accuracy: 0.6987434089937371
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.75 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.72 4805513
Accuracy: 0.6950752188163886
40-80%
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.7190225040850334
precision recall f1-score support
0 0.76 0.67 0.71 24861069
1 0.64 0.73 0.69 20026114
accuracy 0.70 44887183
macro avg 0.70 0.70 0.70 44887183
weighted avg 0.71 0.70 0.70 44887183
Accuracy: 0.699972105623113
80-90%
precision recall f1-score support
0 0.08 0.36 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.7271784594211492
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7301214597228843
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6672643267274542
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9968703205614972
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.82 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6521049665270939
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.64 0.57 0.56 8856813
Accuracy: 0.5747711959143769
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.662632347855117
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.730902507295575
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7595432276017229
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.77 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.77 0.78 666440
Accuracy: 0.7651221415281195
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166914218021222
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166914218021222
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781463659200592
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.863288023075127
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7951051363120355
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.661392760578777
20-40%
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466079305605635
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159187757094134
40-80%
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217269377075919
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5964776368292538
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5876985242965617
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.586540423744073
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6771972899929208
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.906237471654865
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6535834052271399
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5219611384465427
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.4433934051972287
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4099431131372636
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.40413240501770603
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.23 0.37 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.54 49785283
macro avg 0.66 0.59 0.50 49785283
weighted avg 0.68 0.54 0.49 49785283
Accuracy: 0.5427700792621788
0-1%
precision recall f1-score support
0 0.87 0.24 0.37 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.50 44863141
macro avg 0.65 0.59 0.48 44863141
weighted avg 0.70 0.50 0.45 44863141
Accuracy: 0.5044548262904731
1-10%
precision recall f1-score support
0 0.08 0.07 0.07 287564
1 0.94 0.94 0.94 4164787
accuracy 0.89 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.89 0.88 4452351
Accuracy: 0.8872907818813027
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.9342102733484318
20-40%
precision recall f1-score support
0 0.01 0.10 0.02 659
1 1.00 0.94 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.96 131227
Accuracy: 0.9394179551464257
40-80%
precision recall f1-score support
0 0.01 0.16 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.94 0.97 65403
Accuracy: 0.9396205067045854
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.94 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9406986190089358
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9403927068723703
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6286199076140634
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6286199076140634
0-1%
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615548764184835
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615548764184835
1-10%
precision recall f1-score support
0 0.07 0.24 0.11 287564
1 0.94 0.78 0.85 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.80 4452351
Accuracy: 0.7451294832774864
precision recall f1-score support
0 0.75 0.52 0.61 28052152
1 0.55 0.77 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.63 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6272477013916844
10-20%
precision recall f1-score support
0 0.75 0.52 0.61 28054607
1 0.55 0.77 0.64 21520956
accuracy 0.63 49575563
macro avg 0.65 0.64 0.63 49575563
weighted avg 0.66 0.63 0.63 49575563
Accuracy: 0.627999322972893
precision recall f1-score support
0 0.01 0.25 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.77 260071
macro avg 0.50 0.51 0.44 260071
weighted avg 0.98 0.77 0.86 260071
Accuracy: 0.7705242030061021
20-40%
precision recall f1-score support
0 0.75 0.52 0.61 28055266
1 0.55 0.77 0.64 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.63 49706790
Accuracy: 0.6283882342834852
precision recall f1-score support
0 0.01 0.28 0.01 659
1 1.00 0.78 0.87 130568
accuracy 0.78 131227
macro avg 0.50 0.53 0.44 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7753130072317435
40-80%
precision recall f1-score support
0 0.75 0.52 0.61 28055435
1 0.55 0.77 0.64 21716758
accuracy 0.63 49772193
macro avg 0.65 0.64 0.63 49772193
weighted avg 0.66 0.63 0.63 49772193
Accuracy: 0.6285807418612236
precision recall f1-score support
0 0.00 0.28 0.01 169
1 1.00 0.78 0.87 65234
accuracy 0.77 65403
macro avg 0.50 0.53 0.44 65403
weighted avg 1.00 0.77 0.87 65403
Accuracy: 0.7748880020794153
80-90%
precision recall f1-score support
0 0.00 0.33 0.01 15
1 1.00 0.77 0.87 7371
accuracy 0.77 7386
macro avg 0.50 0.55 0.44 7386
weighted avg 1.00 0.77 0.87 7386
Accuracy: 0.7705117790414298
90-100%
precision recall f1-score support
0 0.00 0.33 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.56 0.45 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7866409537166901
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.54 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6429305021727003
0-1%
precision recall f1-score support
0 0.71 0.77 0.73 27764588
1 0.56 0.48 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6570415566756683
1-10%
precision recall f1-score support
0 0.07 0.50 0.12 287564
1 0.94 0.52 0.66 4164787
accuracy 0.51 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.51 0.63 4452351
Accuracy: 0.5141369132846894
10-20%
precision recall f1-score support
0 0.01 0.49 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.67 260071
Accuracy: 0.5153631123808499
20-40%
precision recall f1-score support
0 0.01 0.54 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.53 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5159685125774421
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.52 0.68 65234
accuracy 0.52 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5182178187544914
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.51 0.68 7371
accuracy 0.51 7386
macro avg 0.50 0.42 0.34 7386
weighted avg 1.00 0.51 0.68 7386
Accuracy: 0.5139453019225562
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.52 0.69 5686
accuracy 0.52 5704
macro avg 0.50 0.54 0.35 5704
weighted avg 0.99 0.52 0.68 5704
Accuracy: 0.5227910238429172
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.57 47734596
macro avg 0.67 0.60 0.54 47734596
weighted avg 0.69 0.57 0.53 47734596
Accuracy: 0.5741434158152297
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.06 0.91 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.4651880824724508
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.53 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.550356100154455
10-20%
precision recall f1-score support
0 0.18 0.10 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8233698885967061
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.8715792386183946
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8967117131373231
80-90%
precision recall f1-score support
0 0.04 0.12 0.06 3093
1 0.98 0.93 0.95 120943
accuracy 0.91 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9065110129317295
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9083253684792998
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6590226300438365
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6590226300438365
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7775252676227732
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7775252676227732
1-10%
precision recall f1-score support
0 0.80 0.59 0.68 25421477
1 0.52 0.76 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6483005129278077
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5899843245733374
10-20%
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.71 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.71 0.74 3890639
Accuracy: 0.7052293980500376
20-40%
precision recall f1-score support
0 0.75 0.58 0.65 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.656706856785878
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7279113920165748
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.60 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6586280929966672
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.76 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.47 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7392464926597914
80-90%
precision recall f1-score support
0 0.03 0.32 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.51 0.54 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7423328711019381
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7436490769153378
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.76 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6658257042753646
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8971429290181987
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.5894819766004209
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5590942773153715
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5598851322032586
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5599509899221897
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5590151246412332
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5585291010614216
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.27 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.5930795978665033
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9569498889099498
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.16 0.26 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5221420206660704
10-20%
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.29 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.2614686173659391
20-40%
precision recall f1-score support
0 0.07 0.84 0.13 147488
1 0.94 0.18 0.30 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.29 2117913
Accuracy: 0.22299310689343707
40-80%
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.18 0.30 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.20 0.29 1105895
Accuracy: 0.20169093810895247
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.18 0.30 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.19 0.30 124036
Accuracy: 0.1948305330710439
90-100%
precision recall f1-score support
0 0.02 0.84 0.05 2328
1 0.98 0.18 0.30 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.29 99395
Accuracy: 0.19122692288344484
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.588633216812054
0-1%
precision recall f1-score support
0 1.00 0.72 0.84 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7169957894076446
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.4506641165190485
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092088340327053
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8017901522688629
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8546268610617999
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8751193122540424
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8793006315275245
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755559249452459
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755559249452459
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479493531573087
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479493531573087
1-10%
precision recall f1-score support
0 0.83 0.54 0.66 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6124436255488742
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.667277177055541
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666577360207779
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6641990250909405
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6712240865885833
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7067266283537262
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.7295781421665164
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747597192722029
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.7371325103298251
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.7398563599903872
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853808425183882
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888275887803101
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6864149964701818
10-20%
precision recall f1-score support
0 0.34 0.53 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5878621827056719
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5900872601946973
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5899218438612721
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.70 315349
Accuracy: 0.5883291210690378
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5888531255293918
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6245204274050886
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988557571244547
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7089028123388426
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.27 0.40 5461156
accuracy 0.42 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.4150061513702593
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.34924325457032374
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3129749632677914
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.27 0.42 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.2969218231229527
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2945329335891486
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6019079822403501
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9668083656828166
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4740468545160574
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.48 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5139180425283902
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609094987849717
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643448672900165
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079525663227799
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164305863993758
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961702480413395
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961702480413395
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993316124720081
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993316124720081
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7610588187859696
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7320038680921419
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7036668156415689
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.611254635273433
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6926148162396577
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628321423954573
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.78 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6949805737445209
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7068896432612709
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7250583423375419
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7288503091050957
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204534119295583
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359920435371204
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.656142903773626
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6398741877227071
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6383792904929227
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6363286511448912
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.636357361502911
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6938594140377604
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9026036615337558
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646632372163667
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5520550453774898
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4869195799336946
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4592812421367357
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4543754876658064
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.72 0.58 0.64 28055468
1 0.57 0.71 0.63 21729815
accuracy 0.64 49785283
macro avg 0.65 0.65 0.64 49785283
weighted avg 0.66 0.64 0.64 49785283
Accuracy: 0.6387430799579867
0-1%
precision recall f1-score support
0 0.77 0.58 0.66 27764588
1 0.51 0.71 0.59 17098553
accuracy 0.63 44863141
macro avg 0.64 0.65 0.63 44863141
weighted avg 0.67 0.63 0.64 44863141
Accuracy: 0.6320895141960747
1-10%
precision recall f1-score support
0 0.07 0.29 0.11 287564
1 0.94 0.73 0.82 4164787
accuracy 0.70 4452351
macro avg 0.50 0.51 0.46 4452351
weighted avg 0.88 0.70 0.77 4452351
Accuracy: 0.6972089576944854
10-20%
precision recall f1-score support
0 0.01 0.29 0.02 2455
1 0.99 0.72 0.84 257616
accuracy 0.72 260071
macro avg 0.50 0.51 0.43 260071
weighted avg 0.98 0.72 0.83 260071
Accuracy: 0.7179193374117068
20-40%
precision recall f1-score support
0 0.01 0.33 0.01 659
1 1.00 0.72 0.84 130568
accuracy 0.72 131227
macro avg 0.50 0.53 0.43 131227
weighted avg 0.99 0.72 0.83 131227
Accuracy: 0.7226637810816372
40-80%
precision recall f1-score support
0 0.00 0.33 0.01 169
1 1.00 0.72 0.84 65234
accuracy 0.72 65403
macro avg 0.50 0.52 0.42 65403
weighted avg 1.00 0.72 0.84 65403
Accuracy: 0.7227038515052826
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.72 0.83 7371
accuracy 0.71 7386
macro avg 0.50 0.52 0.42 7386
weighted avg 1.00 0.71 0.83 7386
Accuracy: 0.7144597887896019
90-100%
precision recall f1-score support
0 0.00 0.39 0.01 18
1 1.00 0.73 0.85 5686
accuracy 0.73 5704
macro avg 0.50 0.56 0.43 5704
weighted avg 0.99 0.73 0.84 5704
Accuracy: 0.732468443197756
Treshold: 0.5
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
10-20%
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.74 0.59 0.66 26119367
1 0.60 0.74 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6612892251146317
0-1%
precision recall f1-score support
0 0.98 0.79 0.88 12053010
1 0.12 0.68 0.21 508421
accuracy 0.79 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.79 0.85 12561431
Accuracy: 0.7895345681554912
1-10%
precision recall f1-score support
0 0.61 0.42 0.50 13368467
1 0.58 0.74 0.65 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5910723320366699
10-20%
precision recall f1-score support
0 0.16 0.32 0.21 503365
1 0.88 0.75 0.81 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.70 0.73 3890639
Accuracy: 0.6961992618693228
20-40%
precision recall f1-score support
0 0.09 0.32 0.14 147488
1 0.94 0.75 0.83 1970425
accuracy 0.72 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.72 0.78 2117913
Accuracy: 0.7172858375202381
40-80%
precision recall f1-score support
0 0.05 0.33 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7277508262538487
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7307475249121222
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.83 99395
Accuracy: 0.7320086523466975
Treshold: 0.5
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.27 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.592654644023802
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.27 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.592654644023802
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9570162030106283
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9570162030106283
1-10%
precision recall f1-score support
0 0.66 0.95 0.78 25421477
1 0.66 0.16 0.25 14975241
accuracy 0.66 40396718
macro avg 0.66 0.55 0.52 40396718
weighted avg 0.66 0.66 0.58 40396718
Accuracy: 0.6571021437929685
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.16 0.26 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5217577602127832
10-20%
precision recall f1-score support
0 0.61 0.95 0.75 25924842
1 0.69 0.16 0.26 18362515
accuracy 0.62 44287357
macro avg 0.65 0.55 0.50 44287357
weighted avg 0.65 0.62 0.54 44287357
Accuracy: 0.6222306515152846
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.29 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.2601580357365461
20-40%
precision recall f1-score support
0 0.59 0.95 0.73 26072330
1 0.71 0.16 0.26 20332940
accuracy 0.60 46405270
macro avg 0.65 0.56 0.50 46405270
weighted avg 0.64 0.60 0.53 46405270
Accuracy: 0.6039405222725781
precision recall f1-score support
0 0.07 0.84 0.13 147488
1 0.94 0.17 0.29 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.28 2117913
Accuracy: 0.22147840822545592
40-80%
precision recall f1-score support
0 0.58 0.95 0.72 26113946
1 0.72 0.16 0.27 21397219
accuracy 0.59 47511165
macro avg 0.65 0.56 0.49 47511165
weighted avg 0.64 0.59 0.52 47511165
Accuracy: 0.594540188606194
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.17 0.30 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.18 1105895
weighted avg 0.93 0.20 0.29 1105895
Accuracy: 0.2000859032729147
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.18 0.30 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.17 124036
weighted avg 0.95 0.19 0.29 124036
Accuracy: 0.19328259537553613
90-100%
precision recall f1-score support
0 0.02 0.85 0.05 2328
1 0.98 0.17 0.30 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.29 99395
Accuracy: 0.18973791438201118
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.75 0.61 0.68 24893266
1 0.62 0.76 0.68 20563095
accuracy 0.68 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.69 0.68 0.68 45456361
Accuracy: 0.6774962694440059
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.01 0.70 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.98 4877461
Accuracy: 0.9534866603751418
1-10%
precision recall f1-score support
0 0.82 0.56 0.67 16949103
1 0.44 0.75 0.56 8016772
accuracy 0.62 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.62 0.63 24965875
Accuracy: 0.6194695759712007
10-20%
precision recall f1-score support
0 0.38 0.38 0.38 2057494
1 0.77 0.76 0.76 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6587608147739288
20-40%
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.76 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.73 4805513
Accuracy: 0.6983512478272351
40-80%
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.7196622842947931
80-90%
precision recall f1-score support
0 0.08 0.37 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.7263761736996154
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7291404843418207
Treshold: 0.5
All
precision recall f1-score support
0 0.60 0.92 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6253410826264777
precision recall f1-score support
0 0.60 0.92 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6253410826264777
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988399702222119
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988399702222119
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.36 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.67 24965875
Accuracy: 0.7091430602772785
precision recall f1-score support
0 0.77 0.94 0.85 21822692
1 0.62 0.25 0.36 8020644
accuracy 0.76 29843336
macro avg 0.69 0.60 0.60 29843336
weighted avg 0.73 0.76 0.72 29843336
Accuracy: 0.756489824059884
10-20%
precision recall f1-score support
0 0.69 0.93 0.79 23880186
1 0.68 0.26 0.37 13481800
accuracy 0.69 37361986
macro avg 0.68 0.59 0.58 37361986
weighted avg 0.69 0.69 0.64 37361986
Accuracy: 0.6881000651303707
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.27 0.40 5461156
accuracy 0.42 7518650
macro avg 0.54 0.54 0.42 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.41664461040213335
20-40%
precision recall f1-score support
0 0.64 0.93 0.76 24625160
1 0.72 0.26 0.38 17542339
accuracy 0.65 42167499
macro avg 0.68 0.59 0.57 42167499
weighted avg 0.67 0.65 0.60 42167499
Accuracy: 0.6497353091773358
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3514563377520777
40-80%
precision recall f1-score support
0 0.09 0.78 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.32 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.32 0.40 2719684
Accuracy: 0.3155039335452207
precision recall f1-score support
0 0.61 0.93 0.73 24861069
1 0.74 0.26 0.39 20026114
accuracy 0.63 44887183
macro avg 0.67 0.59 0.56 44887183
weighted avg 0.67 0.63 0.58 44887183
Accuracy: 0.6294844566209468
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.27 0.42 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.299712382154375
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.30 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.30 0.40 253829
Accuracy: 0.297176445559806
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7088039811304607
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678817443799063
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299711871527602
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623973503094193
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927736684334862
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044781752786371
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071289238341036
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159661809072535
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905719108916437
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174659490263599
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.658861601797396
20-40%
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7405322070198819
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5332129281754947
40-80%
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6937499134718728
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45825088837273936
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4263936787989126
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42081657763639635
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5742465062221758
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9005092054425177
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5724775943671838
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.35443994408084195
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21278002104301907
80-90%
precision recall f1-score support
0 0.15 0.99 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15339964377870863
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.82 0.14 0.05 666440
Accuracy: 0.14128803793289718
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.40 0.53 28055468
1 0.52 0.86 0.65 21729815
accuracy 0.60 49785283
macro avg 0.65 0.63 0.59 49785283
weighted avg 0.67 0.60 0.58 49785283
Accuracy: 0.5979842275878998
0-1%
precision recall f1-score support
0 0.82 0.40 0.54 27764588
1 0.47 0.86 0.60 17098553
accuracy 0.57 44863141
macro avg 0.64 0.63 0.57 44863141
weighted avg 0.69 0.57 0.56 44863141
Accuracy: 0.5734684292390495
1-10%
precision recall f1-score support
0 0.07 0.16 0.10 287564
1 0.94 0.86 0.90 4164787
accuracy 0.82 4452351
macro avg 0.51 0.51 0.50 4452351
weighted avg 0.88 0.82 0.85 4452351
Accuracy: 0.8178569030159571
10-20%
precision recall f1-score support
0 0.01 0.16 0.02 2455
1 0.99 0.86 0.92 257616
accuracy 0.85 260071
macro avg 0.50 0.51 0.47 260071
weighted avg 0.98 0.85 0.91 260071
Accuracy: 0.8531016530101395
20-40%
precision recall f1-score support
0 0.01 0.20 0.01 659
1 1.00 0.86 0.92 130568
accuracy 0.86 131227
macro avg 0.50 0.53 0.47 131227
weighted avg 0.99 0.86 0.92 131227
Accuracy: 0.8580779869996266
40-80%
precision recall f1-score support
0 0.00 0.20 0.01 169
1 1.00 0.86 0.92 65234
accuracy 0.86 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.86 0.92 65403
Accuracy: 0.8575753405807073
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.86 0.92 7371
accuracy 0.86 7386
macro avg 0.50 0.50 0.46 7386
weighted avg 1.00 0.86 0.92 7386
Accuracy: 0.8590576766856215
90-100%
precision recall f1-score support
0 0.01 0.28 0.01 18
1 1.00 0.87 0.93 5686
accuracy 0.86 5704
macro avg 0.50 0.57 0.47 5704
weighted avg 0.99 0.86 0.92 5704
Accuracy: 0.8643057503506312
Treshold: 0.5
All
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.64 0.36 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6298674650498622
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.64 0.36 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6298674650498622
0-1%
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.35 0.43 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.59 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6552110562209632
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.35 0.43 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.59 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6552110562209632
1-10%
precision recall f1-score support
0 0.07 0.63 0.12 287564
1 0.94 0.38 0.55 4164787
accuracy 0.40 4452351
macro avg 0.50 0.51 0.33 4452351
weighted avg 0.88 0.40 0.52 4452351
Accuracy: 0.39994488305167314
precision recall f1-score support
0 0.63 0.84 0.72 28052152
1 0.63 0.35 0.45 21263340
accuracy 0.63 49315492
macro avg 0.63 0.60 0.59 49315492
weighted avg 0.63 0.63 0.61 49315492
Accuracy: 0.6321648580531246
10-20%
precision recall f1-score support
0 0.63 0.84 0.72 28054607
1 0.63 0.36 0.46 21520956
accuracy 0.63 49575563
macro avg 0.63 0.60 0.59 49575563
weighted avg 0.63 0.63 0.61 49575563
Accuracy: 0.6308893758806128
precision recall f1-score support
0 0.01 0.61 0.02 2455
1 0.99 0.39 0.56 257616
accuracy 0.39 260071
macro avg 0.50 0.50 0.29 260071
weighted avg 0.98 0.39 0.55 260071
Accuracy: 0.3890283807114211
20-40%
precision recall f1-score support
0 0.63 0.84 0.72 28055266
1 0.63 0.36 0.46 21651524
accuracy 0.63 49706790
macro avg 0.63 0.60 0.59 49706790
weighted avg 0.63 0.63 0.60 49706790
Accuracy: 0.6302454252225903
precision recall f1-score support
0 0.01 0.65 0.01 659
1 1.00 0.39 0.56 130568
accuracy 0.39 131227
macro avg 0.50 0.52 0.28 131227
weighted avg 0.99 0.39 0.55 131227
Accuracy: 0.3869706691458313
40-80%
precision recall f1-score support
0 0.63 0.84 0.72 28055435
1 0.64 0.36 0.46 21716758
accuracy 0.63 49772193
macro avg 0.63 0.60 0.59 49772193
weighted avg 0.63 0.63 0.60 49772193
Accuracy: 0.6299317572765982
precision recall f1-score support
0 0.00 0.63 0.01 169
1 1.00 0.39 0.56 65234
accuracy 0.39 65403
macro avg 0.50 0.51 0.28 65403
weighted avg 0.99 0.39 0.56 65403
Accuracy: 0.3915416724003486
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.38 0.55 7371
accuracy 0.38 7386
macro avg 0.50 0.39 0.27 7386
weighted avg 0.99 0.38 0.54 7386
Accuracy: 0.37571080422420794
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.40 0.57 5686
accuracy 0.40 5704
macro avg 0.50 0.53 0.29 5704
weighted avg 0.99 0.40 0.57 5704
Accuracy: 0.3979663394109397
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.44 0.56 26119367
1 0.56 0.86 0.68 21615229
accuracy 0.63 47734596
macro avg 0.67 0.65 0.62 47734596
weighted avg 0.68 0.63 0.61 47734596
Accuracy: 0.6266476414716069
0-1%
precision recall f1-score support
0 0.99 0.64 0.77 12053010
1 0.09 0.82 0.16 508421
accuracy 0.64 12561431
macro avg 0.54 0.73 0.47 12561431
weighted avg 0.95 0.64 0.75 12561431
Accuracy: 0.64341546755302
1-10%
precision recall f1-score support
0 0.64 0.27 0.38 13368467
1 0.56 0.86 0.68 14466820
accuracy 0.57 27835287
macro avg 0.60 0.56 0.53 27835287
weighted avg 0.60 0.57 0.53 27835287
Accuracy: 0.5744337753729646
10-20%
precision recall f1-score support
0 0.18 0.20 0.19 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7754237800011772
20-40%
precision recall f1-score support
0 0.10 0.21 0.13 147488
1 0.94 0.86 0.89 1970425
accuracy 0.81 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.81 0.84 2117913
Accuracy: 0.8116768724683214
40-80%
precision recall f1-score support
0 0.05 0.21 0.09 41616
1 0.97 0.85 0.91 1064279
accuracy 0.83 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.83 0.88 1105895
Accuracy: 0.8301402936083444
80-90%
precision recall f1-score support
0 0.04 0.22 0.06 3093
1 0.98 0.85 0.91 120943
accuracy 0.84 124036
macro avg 0.51 0.54 0.49 124036
weighted avg 0.95 0.84 0.89 124036
Accuracy: 0.8359427908026702
90-100%
precision recall f1-score support
0 0.03 0.21 0.06 2328
1 0.98 0.85 0.91 97067
accuracy 0.84 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.84 0.89 99395
Accuracy: 0.8384123949896876
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.66 47734596
Accuracy: 0.6619465890106203
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.66 47734596
Accuracy: 0.6619465890106203
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9101863473994324
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9101863473994324
1-10%
precision recall f1-score support
0 0.73 0.79 0.76 25421477
1 0.59 0.51 0.55 14975241
accuracy 0.69 40396718
macro avg 0.66 0.65 0.65 40396718
weighted avg 0.68 0.69 0.68 40396718
Accuracy: 0.6866440486576162
precision recall f1-score support
0 0.56 0.66 0.61 13368467
1 0.62 0.51 0.56 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5857645010090968
10-20%
precision recall f1-score support
0 0.14 0.53 0.22 503365
1 0.88 0.53 0.66 3387274
accuracy 0.53 3890639
macro avg 0.51 0.53 0.44 3890639
weighted avg 0.79 0.53 0.60 3890639
Accuracy: 0.5278724137603104
20-40%
precision recall f1-score support
0 0.67 0.78 0.72 26072330
1 0.65 0.52 0.57 20332940
accuracy 0.67 46405270
macro avg 0.66 0.65 0.65 46405270
weighted avg 0.66 0.67 0.66 46405270
Accuracy: 0.6659417992827108
precision recall f1-score support
0 0.08 0.52 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.52 2117913
macro avg 0.51 0.52 0.40 2117913
weighted avg 0.88 0.52 0.64 2117913
Accuracy: 0.5247061612068107
40-80%
precision recall f1-score support
0 0.66 0.78 0.72 26113946
1 0.66 0.52 0.58 21397219
accuracy 0.66 47511165
macro avg 0.66 0.65 0.65 47511165
weighted avg 0.66 0.66 0.66 47511165
Accuracy: 0.6626108831471508
precision recall f1-score support
0 0.04 0.53 0.08 41616
1 0.97 0.52 0.68 1064279
accuracy 0.52 1105895
macro avg 0.50 0.53 0.38 1105895
weighted avg 0.93 0.52 0.66 1105895
Accuracy: 0.5228398717780621
80-90%
precision recall f1-score support
0 0.03 0.54 0.05 3093
1 0.98 0.52 0.68 120943
accuracy 0.52 124036
macro avg 0.50 0.53 0.37 124036
weighted avg 0.95 0.52 0.66 124036
Accuracy: 0.5210987132767906
90-100%
precision recall f1-score support
0 0.03 0.52 0.05 2328
1 0.98 0.52 0.68 97067
accuracy 0.52 99395
macro avg 0.50 0.52 0.36 99395
weighted avg 0.96 0.52 0.66 99395
Accuracy: 0.5201770712812516
Treshold: 0.6
All
precision recall f1-score support
0 0.57 0.95 0.72 26119367
1 0.73 0.15 0.25 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.48 47734596
weighted avg 0.64 0.59 0.50 47734596
Accuracy: 0.5886962361638087
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.42 0.12 0.19 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.58 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9575670956597222
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.58 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.5181902022422115
10-20%
precision recall f1-score support
0 0.13 0.86 0.23 503365
1 0.88 0.16 0.27 3387274
accuracy 0.25 3890639
macro avg 0.51 0.51 0.25 3890639
weighted avg 0.79 0.25 0.26 3890639
Accuracy: 0.24804305925067835
20-40%
precision recall f1-score support
0 0.07 0.86 0.13 147488
1 0.94 0.16 0.27 1970425
accuracy 0.21 2117913
macro avg 0.50 0.51 0.20 2117913
weighted avg 0.88 0.21 0.26 2117913
Accuracy: 0.20746933419833583
40-80%
precision recall f1-score support
0 0.04 0.86 0.07 41616
1 0.97 0.16 0.27 1064279
accuracy 0.19 1105895
macro avg 0.50 0.51 0.17 1105895
weighted avg 0.93 0.19 0.27 1105895
Accuracy: 0.18533043372110372
80-90%
precision recall f1-score support
0 0.03 0.86 0.05 3093
1 0.98 0.16 0.28 120943
accuracy 0.18 124036
macro avg 0.50 0.51 0.16 124036
weighted avg 0.95 0.18 0.27 124036
Accuracy: 0.17793221322841757
90-100%
precision recall f1-score support
0 0.02 0.86 0.05 2328
1 0.98 0.16 0.27 97067
accuracy 0.17 99395
macro avg 0.50 0.51 0.16 99395
weighted avg 0.96 0.17 0.27 99395
Accuracy: 0.17422405553599277
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.46 0.58 24893266
1 0.57 0.85 0.68 20563095
accuracy 0.64 45456361
macro avg 0.68 0.66 0.63 45456361
weighted avg 0.69 0.64 0.63 45456361
Accuracy: 0.6402726122313223
0-1%
precision recall f1-score support
0 1.00 0.87 0.93 4873589
1 0.01 0.82 0.01 3872
accuracy 0.87 4877461
macro avg 0.50 0.84 0.47 4877461
weighted avg 1.00 0.87 0.93 4877461
Accuracy: 0.8720295251976387
1-10%
precision recall f1-score support
0 0.85 0.39 0.53 16949103
1 0.40 0.85 0.54 8016772
accuracy 0.54 24965875
macro avg 0.62 0.62 0.54 24965875
weighted avg 0.70 0.54 0.53 24965875
Accuracy: 0.5353292844733061
10-20%
precision recall f1-score support
0 0.39 0.24 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6907903679516935
20-40%
precision recall f1-score support
0 0.23 0.23 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7602424548638199
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.89 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7996167937157405
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.90 296772
accuracy 0.81 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8141836504951657
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8178182949938738
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839017975944005
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839017975944005
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9916634904922869
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9916634904922869
1-10%
precision recall f1-score support
0 0.78 0.76 0.77 16949103
1 0.53 0.55 0.54 8016772
accuracy 0.70 24965875
macro avg 0.65 0.66 0.66 24965875
weighted avg 0.70 0.70 0.70 24965875
Accuracy: 0.695844067151662
precision recall f1-score support
0 0.83 0.81 0.82 21822692
1 0.52 0.55 0.54 8020644
accuracy 0.74 29843336
macro avg 0.68 0.68 0.68 29843336
weighted avg 0.75 0.74 0.75 29843336
Accuracy: 0.7441914670665505
10-20%
precision recall f1-score support
0 0.76 0.79 0.78 23880186
1 0.61 0.56 0.58 13481800
accuracy 0.71 37361986
macro avg 0.68 0.68 0.68 37361986
weighted avg 0.71 0.71 0.71 37361986
Accuracy: 0.7097432668595294
precision recall f1-score support
0 0.33 0.57 0.42 2057494
1 0.78 0.58 0.66 5461156
accuracy 0.57 7518650
macro avg 0.56 0.57 0.54 7518650
weighted avg 0.66 0.57 0.60 7518650
Accuracy: 0.5730100483464452
20-40%
precision recall f1-score support
0 0.72 0.79 0.75 24625160
1 0.65 0.56 0.61 17542339
accuracy 0.69 42167499
macro avg 0.68 0.67 0.68 42167499
weighted avg 0.69 0.69 0.69 42167499
Accuracy: 0.693459291953739
precision recall f1-score support
0 0.19 0.54 0.28 744974
1 0.87 0.57 0.69 4060539
accuracy 0.57 4805513
macro avg 0.53 0.56 0.48 4805513
weighted avg 0.77 0.57 0.63 4805513
Accuracy: 0.5668543608143397
40-80%
precision recall f1-score support
0 0.10 0.54 0.17 235909
1 0.93 0.56 0.70 2483775
accuracy 0.56 2719684
macro avg 0.52 0.55 0.44 2719684
weighted avg 0.86 0.56 0.66 2719684
Accuracy: 0.5619634486947749
precision recall f1-score support
0 0.69 0.78 0.73 24861069
1 0.68 0.56 0.62 20026114
accuracy 0.69 44887183
macro avg 0.68 0.67 0.67 44887183
weighted avg 0.68 0.69 0.68 44887183
Accuracy: 0.6854920479193359
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.56 0.70 296772
accuracy 0.56 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.56 0.67 315349
Accuracy: 0.5587174844378767
90-100%
precision recall f1-score support
0 0.06 0.54 0.12 13620
1 0.96 0.56 0.71 240209
accuracy 0.56 253829
macro avg 0.51 0.55 0.41 253829
weighted avg 0.91 0.56 0.67 253829
Accuracy: 0.5582065091065245
Treshold: 0.6
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.75 0.25 0.37 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.55 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.620836784537152
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.26 0.20 0.22 3872
accuracy 1.00 4877461
macro avg 0.63 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9989076283746811
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.23 0.34 8016772
accuracy 0.71 24965875
macro avg 0.67 0.58 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7077758740681029
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.38 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.40772731806906826
20-40%
precision recall f1-score support
0 0.16 0.80 0.27 744974
1 0.87 0.25 0.39 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.33 4805513
weighted avg 0.76 0.34 0.38 4805513
Accuracy: 0.33935586065421114
40-80%
precision recall f1-score support
0 0.09 0.80 0.17 235909
1 0.93 0.25 0.40 2483775
accuracy 0.30 2719684
macro avg 0.51 0.53 0.28 2719684
weighted avg 0.86 0.30 0.38 2719684
Accuracy: 0.3017354222034619
80-90%
precision recall f1-score support
0 0.06 0.80 0.12 18577
1 0.95 0.25 0.40 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.38 315349
Accuracy: 0.2853251476935078
90-100%
precision recall f1-score support
0 0.06 0.80 0.11 13620
1 0.96 0.25 0.40 240209
accuracy 0.28 253829
macro avg 0.51 0.53 0.25 253829
weighted avg 0.91 0.28 0.38 253829
Accuracy: 0.2823318060584094
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.81 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6674256113373301
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9968864496041611
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.81 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.65254780517554
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.65 0.57 0.56 8856813
Accuracy: 0.5749673161214988
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626319981563883
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7307795843011137
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7593804117760247
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.76 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7649480823479983
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167018599515518
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167018599515518
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781143208746824
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632520704614585
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7950830755686871
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.66138677648495
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159593407619446
40-80%
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217346495680594
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5965498977626903
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5877725314900608
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.586628953844307
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6774687832193472
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062160731627035
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6538057199581836
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5224264708882219
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44402930141147046
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.41063014658358127
90-100%
precision recall f1-score support
0 0.16 0.80 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.4048316427585379
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.46 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.67 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.67 0.66 49785283
Accuracy: 0.6748175560235341
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6456711535199909
1-10%
precision recall f1-score support
0 0.19 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.56 0.50 0.49 4452351
weighted avg 0.89 0.93 0.90 4452351
Accuracy: 0.9349646961796139
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.64 0.50 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9904141561342864
20-40%
precision recall f1-score support
0 0.19 0.02 0.04 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.59 0.51 0.52 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9946504911336844
40-80%
precision recall f1-score support
0 0.24 0.08 0.12 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.62 0.54 0.56 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9969726159350488
80-90%
precision recall f1-score support
0 0.12 0.07 0.09 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.56 0.53 0.54 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9971567831031681
90-100%
precision recall f1-score support
0 0.36 0.22 0.28 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.68 0.61 0.64 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9963183730715287
Treshold: 0.5
All
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.72 49785283
macro avg 0.74 0.74 0.72 49785283
weighted avg 0.75 0.72 0.72 49785283
Accuracy: 0.7248628274343645
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.72 49785283
macro avg 0.74 0.74 0.72 49785283
weighted avg 0.75 0.72 0.72 49785283
Accuracy: 0.72486278726185
0-1%
precision recall f1-score support
0 0.84 0.64 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.701951341302652
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9280243179389944
precision recall f1-score support
0 0.84 0.64 0.72 28052152
1 0.64 0.84 0.72 21263340
accuracy 0.72 49315492
macro avg 0.74 0.74 0.72 49315492
weighted avg 0.75 0.72 0.72 49315492
Accuracy: 0.7223619506827591
10-20%
precision recall f1-score support
0 0.84 0.64 0.72 28054607
1 0.64 0.84 0.72 21520956
accuracy 0.72 49575563
macro avg 0.74 0.74 0.72 49575563
weighted avg 0.75 0.72 0.72 49575563
Accuracy: 0.7237477867876155
precision recall f1-score support
0 0.05 0.02 0.03 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.52 0.51 0.51 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.986534446362724
20-40%
precision recall f1-score support
0 0.84 0.64 0.72 28055266
1 0.64 0.84 0.73 21651524
accuracy 0.72 49706790
macro avg 0.74 0.74 0.72 49706790
weighted avg 0.75 0.72 0.72 49706790
Accuracy: 0.7244478269467813
precision recall f1-score support
0 0.03 0.04 0.03 659
1 1.00 0.99 0.99 130568
accuracy 0.99 131227
macro avg 0.51 0.52 0.51 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9889123427343458
40-80%
precision recall f1-score support
0 0.84 0.64 0.72 28055435
1 0.64 0.84 0.73 21716758
accuracy 0.72 49772193
macro avg 0.74 0.74 0.72 49772193
weighted avg 0.75 0.72 0.72 49772193
Accuracy: 0.7247940230401341
precision recall f1-score support
0 0.02 0.08 0.03 169
1 1.00 0.99 0.99 65234
accuracy 0.99 65403
macro avg 0.51 0.54 0.51 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9879057535587052
80-90%
precision recall f1-score support
0 0.01 0.07 0.02 15
1 1.00 0.99 0.99 7371
accuracy 0.99 7386
macro avg 0.51 0.53 0.51 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9879501760086651
90-100%
precision recall f1-score support
0 0.05 0.22 0.08 18
1 1.00 0.99 0.99 5686
accuracy 0.98 5704
macro avg 0.52 0.60 0.54 5704
weighted avg 0.99 0.98 0.99 5704
Accuracy: 0.9847475455820477
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7358201016955151
0-1%
precision recall f1-score support
0 0.78 0.75 0.77 27764588
1 0.62 0.66 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7158991609615564
1-10%
precision recall f1-score support
0 0.09 0.04 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.90 4452351
Accuracy: 0.911357842182703
10-20%
precision recall f1-score support
0 0.02 0.04 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9765602470094705
20-40%
precision recall f1-score support
0 0.02 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.98 131227
macro avg 0.51 0.52 0.51 131227
weighted avg 0.99 0.98 0.98 131227
Accuracy: 0.9756528763135636
40-80%
precision recall f1-score support
0 0.01 0.11 0.02 169
1 1.00 0.97 0.98 65234
accuracy 0.97 65403
macro avg 0.50 0.54 0.50 65403
weighted avg 1.00 0.97 0.98 65403
Accuracy: 0.9674938458480498
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9615488762523694
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.50 5704
weighted avg 0.99 0.96 0.97 5704
Accuracy: 0.9565217391304348
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.712129606655043
0-1%
precision recall f1-score support
0 0.70 0.89 0.78 27764588
1 0.68 0.39 0.49 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6966158477401304
1-10%
precision recall f1-score support
0 0.08 0.14 0.10 287564
1 0.94 0.89 0.92 4164787
accuracy 0.85 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.85 0.86 4452351
Accuracy: 0.8456411006230191
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.95 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9417466768690088
20-40%
precision recall f1-score support
0 0.01 0.12 0.02 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9254421727236011
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.89 0.94 65234
accuracy 0.89 65403
macro avg 0.50 0.54 0.48 65403
weighted avg 1.00 0.89 0.94 65403
Accuracy: 0.8922067795055273
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.87 0.93 7371
accuracy 0.87 7386
macro avg 0.50 0.50 0.47 7386
weighted avg 1.00 0.87 0.93 7386
Accuracy: 0.8701597617113458
90-100%
precision recall f1-score support
0 0.01 0.33 0.02 18
1 1.00 0.87 0.93 5686
accuracy 0.87 5704
macro avg 0.50 0.60 0.47 5704
weighted avg 0.99 0.87 0.93 5704
Accuracy: 0.8702664796633941
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.91 0.14 0.25 21729815
accuracy 0.62 49785283
macro avg 0.76 0.57 0.50 49785283
weighted avg 0.74 0.62 0.53 49785283
Accuracy: 0.6201705833428727
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.80 0.04 0.08 17098553
accuracy 0.63 44863141
macro avg 0.71 0.52 0.42 44863141
weighted avg 0.69 0.63 0.50 44863141
Accuracy: 0.6301739327614176
1-10%
precision recall f1-score support
0 0.07 0.58 0.13 287564
1 0.95 0.51 0.66 4164787
accuracy 0.51 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.51 0.63 4452351
Accuracy: 0.5123178743095501
10-20%
precision recall f1-score support
0 0.01 0.25 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.76 0.85 260071
Accuracy: 0.7580083900165724
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.66 131227
macro avg 0.50 0.51 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6647412498952198
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.51 0.67 65234
accuracy 0.51 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.51 0.67 65403
Accuracy: 0.5070409614237879
80-90%
precision recall f1-score support
0 0.00 0.60 0.00 15
1 1.00 0.40 0.57 7371
accuracy 0.40 7386
macro avg 0.50 0.50 0.29 7386
weighted avg 1.00 0.40 0.57 7386
Accuracy: 0.4018413214189006
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.40 0.57 5686
accuracy 0.40 5704
macro avg 0.50 0.53 0.29 5704
weighted avg 0.99 0.40 0.57 5704
Accuracy: 0.39779102384291726
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 28055468
1 0.95 0.03 0.06 21729815
accuracy 0.58 49785283
macro avg 0.76 0.51 0.39 49785283
weighted avg 0.74 0.58 0.44 49785283
Accuracy: 0.5761586410988163
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.55 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.59 0.50 0.38 44863141
weighted avg 0.59 0.62 0.47 44863141
Accuracy: 0.6189119928094201
1-10%
precision recall f1-score support
0 0.07 0.92 0.13 287564
1 0.96 0.13 0.24 4164787
accuracy 0.19 4452351
macro avg 0.51 0.53 0.18 4452351
weighted avg 0.90 0.19 0.23 4452351
Accuracy: 0.18560351598515032
10-20%
precision recall f1-score support
0 0.01 0.69 0.02 2455
1 0.99 0.30 0.47 257616
accuracy 0.31 260071
macro avg 0.50 0.50 0.24 260071
weighted avg 0.98 0.31 0.46 260071
Accuracy: 0.30831196096450586
20-40%
precision recall f1-score support
0 0.00 0.90 0.01 659
1 0.99 0.08 0.15 130568
accuracy 0.08 131227
macro avg 0.50 0.49 0.08 131227
weighted avg 0.99 0.08 0.15 131227
Accuracy: 0.08415950985696541
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 1.00 0.00 0.00 65403
Accuracy: 0.0038683240829931347
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6898931123246544
0-1%
precision recall f1-score support
0 0.97 0.81 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7980078065946468
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.58 0.52 27835287
Accuracy: 0.5849552404471347
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.868560151687165
20-40%
precision recall f1-score support
0 0.23 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9284191560276556
40-80%
precision recall f1-score support
0 0.21 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.58 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9603850275116534
80-90%
precision recall f1-score support
0 0.22 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9732335773485117
90-100%
precision recall f1-score support
0 0.21 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.59 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.974757281553398
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341014680421721
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341014680421721
0-1%
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8822924712956669
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8822924712956669
1-10%
precision recall f1-score support
0 0.84 0.66 0.74 25421477
1 0.58 0.79 0.67 14975241
accuracy 0.71 40396718
macro avg 0.71 0.72 0.70 40396718
weighted avg 0.74 0.71 0.71 40396718
Accuracy: 0.7065304909176038
precision recall f1-score support
0 0.68 0.43 0.53 13368467
1 0.61 0.81 0.69 14466820
accuracy 0.63 27835287
macro avg 0.64 0.62 0.61 27835287
weighted avg 0.64 0.63 0.61 27835287
Accuracy: 0.6272131126221189
10-20%
precision recall f1-score support
0 0.84 0.65 0.73 25924842
1 0.62 0.82 0.71 18362515
accuracy 0.72 44287357
macro avg 0.73 0.73 0.72 44287357
weighted avg 0.75 0.72 0.72 44287357
Accuracy: 0.7192857772027353
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.8517246138744818
20-40%
precision recall f1-score support
0 0.84 0.64 0.73 26072330
1 0.65 0.84 0.73 20332940
accuracy 0.73 46405270
macro avg 0.74 0.74 0.73 46405270
weighted avg 0.75 0.73 0.73 46405270
Accuracy: 0.7280703032220263
precision recall f1-score support
0 0.12 0.04 0.06 147488
1 0.93 0.98 0.95 1970425
accuracy 0.91 2117913
macro avg 0.53 0.51 0.51 2117913
weighted avg 0.88 0.91 0.89 2117913
Accuracy: 0.9117621923091269
40-80%
precision recall f1-score support
0 0.83 0.64 0.73 26113946
1 0.66 0.84 0.74 21397219
accuracy 0.73 47511165
macro avg 0.75 0.74 0.73 47511165
weighted avg 0.76 0.73 0.73 47511165
Accuracy: 0.7330627863997863
precision recall f1-score support
0 0.07 0.05 0.06 41616
1 0.96 0.98 0.97 1064279
accuracy 0.94 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.94 0.94 1105895
Accuracy: 0.9425560292794524
80-90%
precision recall f1-score support
0 0.06 0.06 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.95 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.95 0.95 124036
Accuracy: 0.954053661840111
90-100%
precision recall f1-score support
0 0.06 0.06 0.06 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9561144926807184
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409823684272933
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.917398742229289
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313308714941578
10-20%
precision recall f1-score support
0 0.19 0.11 0.14 503365
1 0.88 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8207253358638517
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8813931450442015
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.9109671352162728
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.921490535005966
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.923436792595201
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148481784574022
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.07 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455229264882321
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.52 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5977541384789745
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.80 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.72868389999689
20-40%
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.84 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7933744209511912
40-80%
precision recall f1-score support
0 0.05 0.22 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8203654053956297
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.83 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.83 0.88 124036
Accuracy: 0.8257683253249056
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8270335529956235
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.56 0.49 47734596
weighted avg 0.70 0.60 0.51 47734596
Accuracy: 0.6032625687247882
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588855760143888
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.5011759713488854
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33145146594171293
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.4257115377260539
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.45 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4593474063993417
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.45 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.4583024283272598
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.45 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.45 0.60 99395
Accuracy: 0.45403692338648827
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471723275923399
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.95949999645741
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.71 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6928225072834141
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9516457435538695
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.57 24965875
macro avg 0.65 0.65 0.57 24965875
weighted avg 0.73 0.57 0.58 24965875
Accuracy: 0.5747385581318499
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249386525506574
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8415222266592557
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.59 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094619080746146
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372853568585916
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423548924669758
Treshold: 0.5
All
precision recall f1-score support
0 0.84 0.65 0.73 24893266
1 0.66 0.85 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7366477048173742
precision recall f1-score support
0 0.84 0.65 0.73 24893266
1 0.66 0.85 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7366477048173742
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834586068448318
1-10%
precision recall f1-score support
0 0.81 0.65 0.72 16949103
1 0.48 0.69 0.56 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6594332463813105
precision recall f1-score support
0 0.86 0.72 0.79 21822692
1 0.48 0.69 0.56 8020644
accuracy 0.71 29843336
macro avg 0.67 0.70 0.67 29843336
weighted avg 0.76 0.71 0.73 29843336
Accuracy: 0.7123905651834634
10-20%
precision recall f1-score support
0 0.85 0.67 0.75 23880186
1 0.57 0.79 0.66 13481800
accuracy 0.71 37361986
macro avg 0.71 0.73 0.71 37361986
weighted avg 0.75 0.71 0.72 37361986
Accuracy: 0.7124592895035077
precision recall f1-score support
0 0.42 0.13 0.19 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7127320729120254
20-40%
precision recall f1-score support
0 0.84 0.65 0.73 24625160
1 0.63 0.83 0.71 17542339
accuracy 0.72 42167499
macro avg 0.73 0.74 0.72 42167499
weighted avg 0.75 0.72 0.73 42167499
Accuracy: 0.7246990863745559
precision recall f1-score support
0 0.25 0.08 0.13 744974
1 0.85 0.96 0.90 4060539
accuracy 0.82 4805513
macro avg 0.55 0.52 0.51 4805513
weighted avg 0.76 0.82 0.78 4805513
Accuracy: 0.8198612718350777
40-80%
precision recall f1-score support
0 0.16 0.08 0.10 235909
1 0.92 0.96 0.94 2483775
accuracy 0.88 2719684
macro avg 0.54 0.52 0.52 2719684
weighted avg 0.85 0.88 0.87 2719684
Accuracy: 0.8848274284806618
precision recall f1-score support
0 0.84 0.65 0.73 24861069
1 0.66 0.84 0.74 20026114
accuracy 0.73 44887183
macro avg 0.75 0.74 0.73 44887183
weighted avg 0.76 0.73 0.73 44887183
Accuracy: 0.7344011541111858
80-90%
precision recall f1-score support
0 0.12 0.08 0.09 18577
1 0.94 0.96 0.95 296772
accuracy 0.91 315349
macro avg 0.53 0.52 0.52 315349
weighted avg 0.89 0.91 0.90 315349
Accuracy: 0.911764426080311
90-100%
precision recall f1-score support
0 0.10 0.07 0.09 13620
1 0.95 0.96 0.96 240209
accuracy 0.92 253829
macro avg 0.53 0.52 0.52 253829
weighted avg 0.90 0.92 0.91 253829
Accuracy: 0.9163767733395317
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428775039867358
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929239823752563
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6878690612686317
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6885870468767664
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7856116506187789
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8464549557963351
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.872087750397179
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8773347411052322
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7165926018582965
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978864003218068
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6978424349236708
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5973688095602269
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6911805253674269
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7467948482250144
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.770765088838081
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7773067695180613
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.50 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6076901976381259
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991612439340878
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6862799321073265
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3530458260458992
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.34 0.38 4805513
Accuracy: 0.34364738998729166
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.36 0.52 2483775
accuracy 0.39 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.39 0.49 2719684
Accuracy: 0.39280519354454413
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.42 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.42 0.54 315349
Accuracy: 0.42275383781144066
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.55 253829
Accuracy: 0.4293638630731713
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886203244247782
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7288902301407832
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5068793932986956
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6574943410003226
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.790120580469696
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478708130430278
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8596722885781165
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7380526385741609
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7380526385741609
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999987096765869
1-10%
precision recall f1-score support
0 0.94 0.89 0.91 12989887
1 0.27 0.42 0.33 1271288
accuracy 0.85 14261175
macro avg 0.61 0.65 0.62 14261175
weighted avg 0.88 0.85 0.86 14261175
Accuracy: 0.848054175059208
precision recall f1-score support
0 0.93 0.88 0.90 11439888
1 0.27 0.42 0.33 1271288
accuracy 0.83 12711176
macro avg 0.60 0.65 0.62 12711176
weighted avg 0.87 0.83 0.85 12711176
Accuracy: 0.8295260800416893
10-20%
precision recall f1-score support
0 0.89 0.77 0.83 18034328
1 0.46 0.68 0.54 5083660
accuracy 0.75 23117988
macro avg 0.68 0.72 0.69 23117988
weighted avg 0.80 0.75 0.77 23117988
Accuracy: 0.7512524446331575
precision recall f1-score support
0 0.72 0.47 0.57 5044441
1 0.52 0.76 0.62 3812372
accuracy 0.60 8856813
macro avg 0.62 0.62 0.59 8856813
weighted avg 0.64 0.60 0.59 8856813
Accuracy: 0.5953830119253958
20-40%
precision recall f1-score support
0 0.55 0.23 0.33 2995598
1 0.69 0.90 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.55 8578813
weighted avg 0.64 0.67 0.62 8578813
Accuracy: 0.6660222107650557
40-80%
precision recall f1-score support
0 0.85 0.66 0.75 22324987
1 0.64 0.83 0.72 15668439
accuracy 0.73 37993426
macro avg 0.74 0.75 0.73 37993426
weighted avg 0.76 0.73 0.74 37993426
Accuracy: 0.7347891185175035
precision recall f1-score support
0 0.36 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.73 6296625
Accuracy: 0.7680354157981458
80-90%
precision recall f1-score support
0 0.28 0.16 0.20 117971
1 0.87 0.93 0.90 692761
accuracy 0.82 810732
macro avg 0.57 0.54 0.55 810732
weighted avg 0.78 0.82 0.80 810732
Accuracy: 0.8174538565148532
90-100%
precision recall f1-score support
0 0.26 0.15 0.19 88944
1 0.88 0.93 0.90 577496
accuracy 0.83 666440
macro avg 0.57 0.54 0.55 666440
weighted avg 0.79 0.83 0.81 666440
Accuracy: 0.8275118540303703
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480624945180714
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.8637324351421143
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6256777691930495
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613801932738247
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355694518889088
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.7745901234933369
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.783961046755897
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.729504022209139
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877047253535
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.6289582945919712
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154167249012189
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6526744089095349
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.673934173068289
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813111457895684
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.6486366130049511
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8992405580726756
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995083107207977
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.46689093234693424
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.42760097671371566
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41565770192862744
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.4158483884520737
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7255593987484213
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7019329743318685
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766106501794918
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766106501794918
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7469286869593014
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7469286869593014
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7639456177381339
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.7651344272177
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7657412196603322
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.87 0.69 0.77 28055435
1 0.68 0.87 0.76 21716758
accuracy 0.77 49772193
macro avg 0.78 0.78 0.77 49772193
weighted avg 0.79 0.77 0.77 49772193
Accuracy: 0.7660456512334106
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.776786706224006
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7587836972894965
1-10%
precision recall f1-score support
0 0.25 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.59 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9353824530006731
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691218105559428
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.64 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.750495155923211
1-10%
precision recall f1-score support
0 0.13 0.01 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.53 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9332572836238653
10-20%
precision recall f1-score support
0 0.17 0.02 0.03 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.58 0.51 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9899181377393097
20-40%
precision recall f1-score support
0 0.20 0.04 0.06 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.60 0.52 0.53 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9944447407926722
40-80%
precision recall f1-score support
0 0.19 0.08 0.11 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.59 0.54 0.55 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9967585584759109
80-90%
precision recall f1-score support
0 0.12 0.07 0.09 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.56 0.53 0.54 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9971567831031681
90-100%
precision recall f1-score support
0 0.44 0.22 0.30 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.72 0.61 0.65 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9966690042075736
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.36 0.50 21729815
accuracy 0.70 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.70 0.66 49785283
Accuracy: 0.6952265993948452
0-1%
precision recall f1-score support
0 0.66 0.97 0.79 27764588
1 0.80 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6779228409352791
1-10%
precision recall f1-score support
0 0.08 0.15 0.11 287564
1 0.94 0.89 0.91 4164787
accuracy 0.84 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.84 0.86 4452351
Accuracy: 0.8425939464341423
10-20%
precision recall f1-score support
0 0.02 0.07 0.03 2455
1 0.99 0.96 0.97 257616
accuracy 0.95 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.95 0.96 260071
Accuracy: 0.9470183142295757
20-40%
precision recall f1-score support
0 0.01 0.08 0.02 659
1 1.00 0.96 0.98 130568
accuracy 0.95 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.95 0.97 131227
Accuracy: 0.954795888041333
40-80%
precision recall f1-score support
0 0.01 0.14 0.02 169
1 1.00 0.96 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.55 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9576472027277037
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9601949634443542
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.51 5704
weighted avg 0.99 0.96 0.98 5704
Accuracy: 0.9588008415147266
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.702004831045391
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8612059406288981
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768442409090303
10-20%
precision recall f1-score support
0 0.18 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696383807389995
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.930020260511173
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9622577188611938
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.741057764477571
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.741057764477571
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262549784335877
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262549784335877
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.75 0.71 0.72 40396718
Accuracy: 0.7133189631890393
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6172257896963663
10-20%
precision recall f1-score support
0 0.85 0.64 0.73 25924842
1 0.63 0.85 0.72 18362515
accuracy 0.73 44287357
macro avg 0.74 0.74 0.73 44287357
weighted avg 0.76 0.73 0.73 44287357
Accuracy: 0.7258026483720851
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8554214359132266
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9221748013256447
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399666162679867
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.958236541443808
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721371214808604
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9742642990090045
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475000731125911
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442128846625835
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252882537191012
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8298091907267675
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9068040094187061
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9499708380994579
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668725208810346
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.969425021379345
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7036790465347188
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548506854035977
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.596758208384918
10-20%
precision recall f1-score support
0 0.15 0.36 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6513580416995769
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.6995150414582657
40-80%
precision recall f1-score support
0 0.04 0.31 0.08 41616
1 0.96 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7270391854561238
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7368344674126867
90-100%
precision recall f1-score support
0 0.03 0.28 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7392122340157956
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.81 0.02 0.04 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.38 47734596
weighted avg 0.67 0.55 0.41 47734596
Accuracy: 0.5548408118924899
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.40 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.68 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595222073026553
1-10%
precision recall f1-score support
0 0.48 0.99 0.65 13368467
1 0.71 0.01 0.03 14466820
accuracy 0.48 27835287
macro avg 0.59 0.50 0.34 27835287
weighted avg 0.60 0.48 0.33 27835287
Accuracy: 0.48464120380723935
10-20%
precision recall f1-score support
0 0.13 0.97 0.23 503365
1 0.88 0.04 0.07 3387274
accuracy 0.16 3890639
macro avg 0.51 0.50 0.15 3890639
weighted avg 0.78 0.16 0.09 3890639
Accuracy: 0.15661463322605876
20-40%
precision recall f1-score support
0 0.07 0.96 0.13 147488
1 0.94 0.04 0.08 1970425
accuracy 0.11 2117913
macro avg 0.50 0.50 0.11 2117913
weighted avg 0.88 0.11 0.09 2117913
Accuracy: 0.1071672915742998
40-80%
precision recall f1-score support
0 0.04 0.96 0.07 41616
1 0.97 0.05 0.09 1064279
accuracy 0.08 1105895
macro avg 0.50 0.50 0.08 1105895
weighted avg 0.93 0.08 0.09 1105895
Accuracy: 0.08127173013712875
80-90%
precision recall f1-score support
0 0.03 0.96 0.05 3093
1 0.98 0.05 0.09 120943
accuracy 0.07 124036
macro avg 0.50 0.50 0.07 124036
weighted avg 0.96 0.07 0.09 124036
Accuracy: 0.07212422200006449
90-100%
precision recall f1-score support
0 0.02 0.96 0.05 2328
1 0.98 0.05 0.09 97067
accuracy 0.07 99395
macro avg 0.50 0.50 0.07 99395
weighted avg 0.96 0.07 0.09 99395
Accuracy: 0.06918859097540117
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.38 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.73 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6375908973443782
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202041800026695
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.48612496057117965
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7182914485978201
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.97 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8301423802203843
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8972244569589702
80-90%
precision recall f1-score support
0 0.09 0.03 0.05 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9250608056470767
90-100%
precision recall f1-score support
0 0.07 0.03 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9299213249865067
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798581391062078
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798581611053292
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682306019463816
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682306019463816
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5885483284683594
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6506019300255172
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582850012309303
precision recall f1-score support
0 0.39 0.25 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6887809646678592
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699703959203271
precision recall f1-score support
0 0.23 0.23 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.760822205662538
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8035352636556305
80-90%
precision recall f1-score support
0 0.09 0.22 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8196188984268223
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8236805093192662
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.699147870635751
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858715425915245
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6461317298111923
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.77 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6636123506214546
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.55 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7111607023017106
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7381673753274277
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.747584422338425
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.85 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751021356897754
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5475752887478168
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.999198558430298
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788336879840983
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.18 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.23 0.50 0.21 7518650
weighted avg 0.21 0.27 0.12 7518650
Accuracy: 0.2735976538341325
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.14 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.15 0.50 0.13 4805513
weighted avg 0.14 0.15 0.04 4805513
Accuracy: 0.1549582739657556
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.06 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08665161099598336
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.03 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.05 0.50 0.06 315349
weighted avg 0.04 0.06 0.01 315349
Accuracy: 0.05882371594645932
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.07 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.06 0.50 0.05 253829
weighted avg 0.07 0.05 0.01 253829
Accuracy: 0.053567559262338034
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5476166910941244
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992051192208405
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.10 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.49 0.68 0.55 24965875
Accuracy: 0.6788771873607474
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.20 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.24 0.50 0.21 7518650
weighted avg 0.22 0.27 0.12 7518650
Accuracy: 0.27363861863499434
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.11 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.13 0.50 0.13 4805513
weighted avg 0.12 0.16 0.04 4805513
Accuracy: 0.15500634375559905
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.05 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.05 0.09 0.01 2719684
Accuracy: 0.08672110436359519
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05888713774262801
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.11 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.08 0.50 0.05 253829
weighted avg 0.11 0.05 0.01 253829
Accuracy: 0.05363059382497666
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.04 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.29 0.50 0.35 45456361
weighted avg 0.32 0.55 0.39 45456361
Accuracy: 0.5476294725836061
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890365348701
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.14 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.21 0.50 0.21 7518650
weighted avg 0.18 0.27 0.12 7518650
Accuracy: 0.2736513868846136
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502423986783512
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674022423193282
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058906164281478615
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6007910242454396
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673096563288105
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4709554804370579
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5127644673089519
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608404915691717
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649642467194727
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088517537237953
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173473981153592
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.695003303471612
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.695003303471612
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7581716092818439
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7287705716607181
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7012536731137675
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096048318960782
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6908608222009534
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628544065478522
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.79 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6937060111399272
precision recall f1-score support
0 0.33 0.40 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7080285073352788
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7266457966380999
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7304678590720846
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205002822607349
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353920203763995
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560426419751665
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.640351060222434
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6391579616064161
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372303054523566
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373176880139247
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6929483054703149
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030749003868721
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643434833726307
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5502790421005797
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.4839400472475334
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4559003468470469
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4508012724326271
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.71 0.78 28055468
1 0.69 0.85 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.770221573311133
0-1%
precision recall f1-score support
0 0.86 0.71 0.78 27764588
1 0.64 0.81 0.71 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.75 0.76 44863141
Accuracy: 0.7514952419403715
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658449184671703
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658449385534275
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.746760687130667
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7467607094206801
1-10%
precision recall f1-score support
0 0.14 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.54 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9341803914381414
10-20%
precision recall f1-score support
0 0.75 0.87 0.81 28054607
1 0.78 0.63 0.70 21520956
accuracy 0.76 49575563
macro avg 0.77 0.75 0.75 49575563
weighted avg 0.77 0.76 0.76 49575563
Accuracy: 0.7648714952566449
precision recall f1-score support
0 0.43 0.01 0.02 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.71 0.51 0.51 260071
weighted avg 0.99 0.99 0.99 260071
Accuracy: 0.9905218190417232
20-40%
precision recall f1-score support
0 0.75 0.87 0.81 28055266
1 0.79 0.63 0.70 21651524
accuracy 0.77 49706790
macro avg 0.77 0.75 0.75 49706790
weighted avg 0.77 0.77 0.76 49706790
Accuracy: 0.7654791025531924
precision recall f1-score support
0 0.62 0.02 0.05 659
1 1.00 1.00 1.00 130568
accuracy 1.00 131227
macro avg 0.81 0.51 0.52 131227
weighted avg 0.99 1.00 0.99 131227
Accuracy: 0.9950238899007064
40-80%
precision recall f1-score support
0 0.75 0.87 0.81 28055435
1 0.79 0.64 0.70 21716758
accuracy 0.77 49772193
macro avg 0.77 0.75 0.75 49772193
weighted avg 0.77 0.77 0.76 49772193
Accuracy: 0.7657839388350841
precision recall f1-score support
0 0.62 0.05 0.09 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.81 0.52 0.54 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9974618901273642
80-90%
precision recall f1-score support
0 1.00 0.07 0.12 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 1.00 0.53 0.56 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9981045220687788
90-100%
precision recall f1-score support
0 1.00 0.11 0.20 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 1.00 0.56 0.60 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9971949509116409
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.94 0.79 28055468
1 0.85 0.43 0.57 21729815
accuracy 0.72 49785283
macro avg 0.77 0.68 0.68 49785283
weighted avg 0.76 0.72 0.69 49785283
Accuracy: 0.7173512702539021
0-1%
precision recall f1-score support
0 0.68 0.95 0.80 27764588
1 0.78 0.28 0.41 17098553
accuracy 0.70 44863141
macro avg 0.73 0.62 0.60 44863141
weighted avg 0.72 0.70 0.65 44863141
Accuracy: 0.6964120278604656
1-10%
precision recall f1-score support
0 0.09 0.06 0.07 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9002282165085367
10-20%
precision recall f1-score support
0 0.03 0.03 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9807821710225285
20-40%
precision recall f1-score support
0 0.03 0.05 0.03 659
1 1.00 0.99 0.99 130568
accuracy 0.99 131227
macro avg 0.51 0.52 0.51 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9866033666852096
40-80%
precision recall f1-score support
0 0.03 0.09 0.04 169
1 1.00 0.99 0.99 65234
accuracy 0.99 65403
macro avg 0.51 0.54 0.52 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9887619833952571
80-90%
precision recall f1-score support
0 0.02 0.07 0.03 15
1 1.00 0.99 1.00 7371
accuracy 0.99 7386
macro avg 0.51 0.53 0.51 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.991334958028703
90-100%
precision recall f1-score support
0 0.08 0.22 0.11 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.54 0.61 0.55 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9889551192145862
Treshold: 0.7
All
precision recall f1-score support
0 0.59 1.00 0.74 28055468
1 0.94 0.09 0.17 21729815
accuracy 0.60 49785283
macro avg 0.76 0.54 0.45 49785283
weighted avg 0.74 0.60 0.49 49785283
Accuracy: 0.6010868111365361
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.84 0.02 0.03 17098553
accuracy 0.62 44863141
macro avg 0.73 0.51 0.40 44863141
weighted avg 0.70 0.62 0.49 44863141
Accuracy: 0.6234895144769288
1-10%
precision recall f1-score support
0 0.07 0.73 0.13 287564
1 0.95 0.35 0.51 4164787
accuracy 0.37 4452351
macro avg 0.51 0.54 0.32 4452351
weighted avg 0.89 0.37 0.48 4452351
Accuracy: 0.37079938216910574
10-20%
precision recall f1-score support
0 0.01 0.38 0.02 2455
1 0.99 0.63 0.77 257616
accuracy 0.63 260071
macro avg 0.50 0.51 0.39 260071
weighted avg 0.98 0.63 0.76 260071
Accuracy: 0.6280669509480103
20-40%
precision recall f1-score support
0 0.01 0.38 0.01 659
1 1.00 0.66 0.79 130568
accuracy 0.66 131227
macro avg 0.50 0.52 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6588887957508744
40-80%
precision recall f1-score support
0 0.00 0.39 0.01 169
1 1.00 0.67 0.80 65234
accuracy 0.67 65403
macro avg 0.50 0.53 0.41 65403
weighted avg 1.00 0.67 0.80 65403
Accuracy: 0.6728437533446477
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.67 0.80 7371
accuracy 0.67 7386
macro avg 0.50 0.50 0.40 7386
weighted avg 1.00 0.67 0.80 7386
Accuracy: 0.6665312753858651
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.69 0.81 5686
accuracy 0.69 5704
macro avg 0.50 0.57 0.41 5704
weighted avg 0.99 0.69 0.81 5704
Accuracy: 0.6863604488078542
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.67 0.86 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7421083442289949
0-1%
precision recall f1-score support
0 0.97 0.96 0.96 12053010
1 0.19 0.24 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.60 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.928404733505283
1-10%
precision recall f1-score support
0 0.68 0.39 0.50 13368467
1 0.60 0.83 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.63 0.62 0.60 27835287
Accuracy: 0.6183452680046015
10-20%
precision recall f1-score support
0 0.17 0.03 0.06 503365
1 0.87 0.98 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8539378749866025
20-40%
precision recall f1-score support
0 0.09 0.01 0.03 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9213565429741448
40-80%
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 0.99 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9578160675290149
80-90%
precision recall f1-score support
0 0.04 0.01 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9719033183914347
90-100%
precision recall f1-score support
0 0.03 0.00 0.01 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9740932642487047
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7003930231231034
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7003930231231034
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.09 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552381412595428
1-10%
precision recall f1-score support
0 0.73 0.86 0.79 25421477
1 0.65 0.45 0.53 14975241
accuracy 0.71 40396718
macro avg 0.69 0.65 0.66 40396718
weighted avg 0.70 0.71 0.69 40396718
Accuracy: 0.7061913792105586
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.65 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5938022841294937
10-20%
precision recall f1-score support
0 0.70 0.85 0.77 25924842
1 0.70 0.49 0.58 18362515
accuracy 0.70 44287357
macro avg 0.70 0.67 0.67 44287357
weighted avg 0.70 0.70 0.69 44287357
Accuracy: 0.7004582820329514
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.6409312197816348
20-40%
precision recall f1-score support
0 0.69 0.85 0.76 26072330
1 0.72 0.51 0.60 20332940
accuracy 0.70 46405270
macro avg 0.71 0.68 0.68 46405270
weighted avg 0.70 0.70 0.69 46405270
Accuracy: 0.6999049892393687
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.71 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6883351676863025
40-80%
precision recall f1-score support
0 0.68 0.85 0.76 26113946
1 0.73 0.52 0.61 21397219
accuracy 0.70 47511165
macro avg 0.71 0.68 0.68 47511165
weighted avg 0.71 0.70 0.69 47511165
Accuracy: 0.700270220694441
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.96 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.50 0.53 0.45 1105895
weighted avg 0.93 0.72 0.80 1105895
Accuracy: 0.7155959652589079
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7254426134348092
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.52 0.44 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.7278233311534785
Treshold: 0.6
All
precision recall f1-score support
0 0.59 0.95 0.73 26119367
1 0.77 0.19 0.30 21615229
accuracy 0.61 47734596
macro avg 0.68 0.57 0.51 47734596
weighted avg 0.67 0.61 0.53 47734596
Accuracy: 0.6062791439567227
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.01 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9591016342007531
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.15 0.24 14466820
accuracy 0.52 27835287
macro avg 0.59 0.53 0.44 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5191409379037478
10-20%
precision recall f1-score support
0 0.13 0.75 0.23 503365
1 0.88 0.27 0.42 3387274
accuracy 0.33 3890639
macro avg 0.51 0.51 0.32 3890639
weighted avg 0.78 0.33 0.39 3890639
Accuracy: 0.3339158426160844
20-40%
precision recall f1-score support
0 0.07 0.72 0.13 147488
1 0.94 0.30 0.46 1970425
accuracy 0.33 2117913
macro avg 0.50 0.51 0.29 2117913
weighted avg 0.88 0.33 0.43 2117913
Accuracy: 0.3311547735907943
40-80%
precision recall f1-score support
0 0.04 0.71 0.07 41616
1 0.97 0.32 0.48 1064279
accuracy 0.33 1105895
macro avg 0.50 0.51 0.28 1105895
weighted avg 0.93 0.33 0.46 1105895
Accuracy: 0.33224763652968864
80-90%
precision recall f1-score support
0 0.03 0.71 0.05 3093
1 0.98 0.32 0.49 120943
accuracy 0.33 124036
macro avg 0.50 0.52 0.27 124036
weighted avg 0.95 0.33 0.48 124036
Accuracy: 0.33415298784223935
90-100%
precision recall f1-score support
0 0.02 0.69 0.05 2328
1 0.98 0.32 0.49 97067
accuracy 0.33 99395
macro avg 0.50 0.51 0.27 99395
weighted avg 0.96 0.33 0.48 99395
Accuracy: 0.3318376175863977
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471747367464889
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.48026593007645296
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.1293687232354377
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.06962656161985879
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.0376229208017036
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024920184462575382
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.02341164042456864
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.56 0.66 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.70 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6820631550334616
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.64 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9698724397796312
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5949319621283051
10-20%
precision recall f1-score support
0 0.39 0.26 0.31 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.56 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6864929209366043
20-40%
precision recall f1-score support
0 0.23 0.24 0.23 744974
1 0.86 0.85 0.85 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7555006094042405
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.88 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7962766997930641
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.89 296772
accuracy 0.81 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8115453037745481
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8154623782152551
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5476132152329571
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5476132152329571
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992051192208405
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788739028774277
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.11 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.42 0.50 0.42 29843336
weighted avg 0.56 0.73 0.62 29843336
Accuracy: 0.7312274003147637
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.13 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.38 0.50 0.39 37361986
weighted avg 0.45 0.64 0.50 37361986
Accuracy: 0.6391422822116576
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.18 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.23 0.50 0.21 7518650
weighted avg 0.21 0.27 0.12 7518650
Accuracy: 0.2736342295491877
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.13 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.36 0.50 0.37 42167499
weighted avg 0.39 0.58 0.43 42167499
Accuracy: 0.5839684255402484
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.13 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.14 0.16 0.04 4805513
Accuracy: 0.15500176568037585
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.04 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.06 0.50 0.08 2719684
weighted avg 0.04 0.09 0.01 2719684
Accuracy: 0.08671448594763215
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.12 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.34 0.50 0.36 44887183
weighted avg 0.36 0.55 0.39 44887183
Accuracy: 0.553840146306352
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05888396665281957
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.15 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.10 0.50 0.05 253829
weighted avg 0.15 0.05 0.01 253829
Accuracy: 0.053622714504646826
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.10 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5476261507162881
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.10 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.49 0.68 0.55 24965875
Accuracy: 0.6788869206466828
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.25 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.26 0.50 0.21 7518650
weighted avg 0.26 0.27 0.12 7518650
Accuracy: 0.2736493918456106
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.03 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.09 0.50 0.13 4805513
weighted avg 0.05 0.16 0.04 4805513
Accuracy: 0.1550186213209703
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08673507657507269
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05889665101205331
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05363847314530649
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476295825792126
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.6788906056767487
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736512538820134
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502423986783512
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674022423193282
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058906164281478615
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7087969885837554
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678635713957545
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299615900211509
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623935036234033
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927816091954023
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044929767173369
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071454294460117
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159759276497204
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905730044175299
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174393463652633
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6587764695946499
20-40%
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7404618844658803
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5330247902594449
40-80%
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6936507647401948
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45800663053619994
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4261025838378157
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.4205344817237861
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5739893781188722
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9004659364326322
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5722523440429419
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.35405970499648376
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.212228773350803
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15281005313716492
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.83 0.14 0.05 666440
Accuracy: 0.14069833743472782
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.90 0.64 0.75 28055468
1 0.66 0.90 0.76 21729815
accuracy 0.75 49785283
macro avg 0.78 0.77 0.75 49785283
weighted avg 0.79 0.75 0.75 49785283
Accuracy: 0.7541967773890127
0-1%
precision recall f1-score support
0 0.90 0.65 0.75 27764588
1 0.60 0.88 0.72 17098553
accuracy 0.73 44863141
macro avg 0.75 0.76 0.73 44863141
weighted avg 0.78 0.73 0.74 44863141
Accuracy: 0.7337122917898237
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7774621467954697
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7774621467954697
0-1%
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595344918002955
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595344918002955
1-10%
precision recall f1-score support
0 0.21 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.57 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9353698753759531
precision recall f1-score support
0 0.81 0.79 0.80 28052152
1 0.73 0.76 0.74 21263340
accuracy 0.78 49315492
macro avg 0.77 0.77 0.77 49315492
weighted avg 0.78 0.78 0.78 49315492
Accuracy: 0.7754094392893819
10-20%
precision recall f1-score support
0 0.81 0.79 0.80 28054607
1 0.73 0.76 0.75 21520956
accuracy 0.78 49575563
macro avg 0.77 0.77 0.77 49575563
weighted avg 0.78 0.78 0.78 49575563
Accuracy: 0.7765381101168735
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.81 0.79 0.80 28055266
1 0.74 0.76 0.75 21651524
accuracy 0.78 49706790
macro avg 0.77 0.78 0.77 49706790
weighted avg 0.78 0.78 0.78 49706790
Accuracy: 0.777114796590164
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.81 0.79 0.80 28055435
1 0.74 0.76 0.75 21716758
accuracy 0.78 49772193
macro avg 0.77 0.78 0.77 49772193
weighted avg 0.78 0.78 0.78 49772193
Accuracy: 0.7774042827488031
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.63 0.70 21729815
accuracy 0.76 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.76 0.76 49785283
Accuracy: 0.7645455987465212
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.53 0.61 17098553
accuracy 0.75 44863141
macro avg 0.74 0.70 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7454210350541439
1-10%
precision recall f1-score support
0 0.13 0.01 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.53 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9331890050896706
10-20%
precision recall f1-score support
0 0.22 0.02 0.03 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.61 0.51 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9901526890733684
20-40%
precision recall f1-score support
0 0.27 0.04 0.06 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.63 0.52 0.53 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9946733522826857
40-80%
precision recall f1-score support
0 0.27 0.08 0.12 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.63 0.54 0.56 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9970796446646178
80-90%
precision recall f1-score support
0 0.17 0.07 0.10 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.58 0.53 0.55 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9974275656647712
90-100%
precision recall f1-score support
0 0.67 0.22 0.33 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.83 0.61 0.67 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9971949509116409
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.95 0.78 28055468
1 0.86 0.38 0.53 21729815
accuracy 0.70 49785283
macro avg 0.76 0.67 0.66 49785283
weighted avg 0.75 0.70 0.67 49785283
Accuracy: 0.7039988705095841
0-1%
precision recall f1-score support
0 0.67 0.96 0.79 27764588
1 0.79 0.23 0.36 17098553
accuracy 0.68 44863141
macro avg 0.73 0.60 0.58 44863141
weighted avg 0.72 0.68 0.63 44863141
Accuracy: 0.6845660226955576
1-10%
precision recall f1-score support
0 0.09 0.11 0.10 287564
1 0.94 0.92 0.93 4164787
accuracy 0.87 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.87 0.88 4452351
Accuracy: 0.8717032866456396
10-20%
precision recall f1-score support
0 0.02 0.05 0.03 2455
1 0.99 0.98 0.98 257616
accuracy 0.97 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.97 0.97 260071
Accuracy: 0.9668744304439941
20-40%
precision recall f1-score support
0 0.01 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9736182340524435
40-80%
precision recall f1-score support
0 0.01 0.11 0.02 169
1 1.00 0.98 0.99 65234
accuracy 0.98 65403
macro avg 0.51 0.54 0.51 65403
weighted avg 1.00 0.98 0.99 65403
Accuracy: 0.9763466507652554
80-90%
precision recall f1-score support
0 0.01 0.07 0.01 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.52 0.50 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.9783373950717574
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 18
1 1.00 0.98 0.99 5686
accuracy 0.98 5704
macro avg 0.51 0.60 0.52 5704
weighted avg 0.99 0.98 0.99 5704
Accuracy: 0.9763323983169705
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.57 0.69 26119367
1 0.64 0.92 0.75 21615229
accuracy 0.73 47734596
macro avg 0.76 0.74 0.72 47734596
weighted avg 0.78 0.73 0.72 47734596
Accuracy: 0.7263995488722687
0-1%
precision recall f1-score support
0 0.97 0.93 0.95 12053010
1 0.17 0.37 0.23 508421
accuracy 0.90 12561431
macro avg 0.57 0.65 0.59 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.9025661964787293
1-10%
precision recall f1-score support
0 0.72 0.28 0.40 13368467
1 0.57 0.90 0.70 14466820
accuracy 0.60 27835287
macro avg 0.65 0.59 0.55 27835287
weighted avg 0.64 0.60 0.56 27835287
Accuracy: 0.600780764358564
10-20%
precision recall f1-score support
0 0.18 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.52 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8655570460276577
20-40%
precision recall f1-score support
0 0.10 0.00 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9280022361636195
40-80%
precision recall f1-score support
0 0.06 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9613055488993077
80-90%
precision recall f1-score support
0 0.05 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9743622819181528
90-100%
precision recall f1-score support
0 0.03 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9759444640072438
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7469020163069988
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7469020372561653
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464193211744745
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464193211744745
1-10%
precision recall f1-score support
0 0.80 0.75 0.77 25421477
1 0.62 0.68 0.65 14975241
accuracy 0.72 40396718
macro avg 0.71 0.72 0.71 40396718
weighted avg 0.73 0.72 0.73 40396718
Accuracy: 0.7246658008207498
precision recall f1-score support
0 0.63 0.54 0.58 13368467
1 0.62 0.70 0.66 14466820
accuracy 0.62 27835287
macro avg 0.62 0.62 0.62 27835287
weighted avg 0.62 0.62 0.62 27835287
Accuracy: 0.6245934521889428
10-20%
precision recall f1-score support
0 0.79 0.74 0.76 25924842
1 0.66 0.73 0.69 18362515
accuracy 0.73 44287357
macro avg 0.73 0.73 0.73 44287357
weighted avg 0.74 0.73 0.73 44287357
Accuracy: 0.7333267370188743
precision recall f1-score support
0 0.15 0.08 0.11 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.82 0.80 3890639
Accuracy: 0.8232537123079268
20-40%
precision recall f1-score support
0 0.79 0.73 0.76 26072330
1 0.69 0.75 0.72 20332940
accuracy 0.74 46405270
macro avg 0.74 0.74 0.74 46405270
weighted avg 0.75 0.74 0.74 46405270
Accuracy: 0.7410568023847292
precision recall f1-score support
0 0.08 0.04 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.90 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.90 0.89 2117913
Accuracy: 0.9026990249363407
40-80%
precision recall f1-score support
0 0.79 0.73 0.76 26113946
1 0.70 0.76 0.73 21397219
accuracy 0.75 47511165
macro avg 0.74 0.75 0.74 47511165
weighted avg 0.75 0.75 0.75 47511165
Accuracy: 0.7458686605558925
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.50 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9477825652525782
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9653810184140088
90-100%
precision recall f1-score support
0 0.02 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9682177171889934
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.85 0.75 26119367
1 0.74 0.52 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.68 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.6992453439848951
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.955294424655917
1-10%
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5930401939092634
10-20%
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.67 0.76 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.69 3890639
Accuracy: 0.6368159574815345
20-40%
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.71 0.81 1970425
accuracy 0.68 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.68 0.76 2117913
Accuracy: 0.6832471399911139
40-80%
precision recall f1-score support
0 0.04 0.33 0.08 41616
1 0.96 0.72 0.83 1064279
accuracy 0.71 1105895
macro avg 0.50 0.53 0.45 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.7099543808408574
80-90%
precision recall f1-score support
0 0.03 0.32 0.05 3093
1 0.98 0.73 0.84 120943
accuracy 0.72 124036
macro avg 0.50 0.52 0.44 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7199603340965526
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.52 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7220685145128024
Treshold: 0.7
All
precision recall f1-score support
0 0.57 0.97 0.72 26119367
1 0.78 0.13 0.23 21615229
accuracy 0.59 47734596
macro avg 0.68 0.55 0.47 47734596
weighted avg 0.67 0.59 0.50 47734596
Accuracy: 0.5900415078405608
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.24 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9593151449066591
1-10%
precision recall f1-score support
0 0.49 0.95 0.65 13368467
1 0.68 0.10 0.17 14466820
accuracy 0.51 27835287
macro avg 0.59 0.52 0.41 27835287
weighted avg 0.59 0.51 0.40 27835287
Accuracy: 0.5074993837857681
10-20%
precision recall f1-score support
0 0.13 0.82 0.23 503365
1 0.88 0.20 0.33 3387274
accuracy 0.28 3890639
macro avg 0.51 0.51 0.28 3890639
weighted avg 0.78 0.28 0.31 3890639
Accuracy: 0.2795527932558122
20-40%
precision recall f1-score support
0 0.07 0.80 0.13 147488
1 0.94 0.22 0.36 1970425
accuracy 0.26 2117913
macro avg 0.50 0.51 0.25 2117913
weighted avg 0.88 0.26 0.35 2117913
Accuracy: 0.26392018935622
40-80%
precision recall f1-score support
0 0.04 0.79 0.07 41616
1 0.97 0.24 0.38 1064279
accuracy 0.26 1105895
macro avg 0.50 0.51 0.23 1105895
weighted avg 0.93 0.26 0.37 1105895
Accuracy: 0.2576356706558941
80-90%
precision recall f1-score support
0 0.03 0.78 0.05 3093
1 0.98 0.24 0.39 120943
accuracy 0.26 124036
macro avg 0.50 0.51 0.22 124036
weighted avg 0.95 0.26 0.38 124036
Accuracy: 0.2570866522622464
90-100%
precision recall f1-score support
0 0.02 0.78 0.05 2328
1 0.98 0.24 0.39 97067
accuracy 0.25 99395
macro avg 0.50 0.51 0.22 99395
weighted avg 0.96 0.25 0.38 99395
Accuracy: 0.25379546254841795
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.52 0.65 24893266
1 0.61 0.90 0.73 20563095
accuracy 0.69 45456361
macro avg 0.73 0.71 0.69 45456361
weighted avg 0.75 0.69 0.69 45456361
Accuracy: 0.692879639001459
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.02 0.23 0.03 3872
accuracy 0.99 4877461
macro avg 0.51 0.61 0.51 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888929916610302
1-10%
precision recall f1-score support
0 0.86 0.47 0.60 16949103
1 0.43 0.84 0.56 8016772
accuracy 0.58 24965875
macro avg 0.64 0.65 0.58 24965875
weighted avg 0.72 0.58 0.59 24965875
Accuracy: 0.5842311555272948
10-20%
precision recall f1-score support
0 0.39 0.13 0.19 2057494
1 0.74 0.92 0.82 5461156
accuracy 0.71 7518650
macro avg 0.56 0.53 0.51 7518650
weighted avg 0.64 0.71 0.65 7518650
Accuracy: 0.7061187846222393
20-40%
precision recall f1-score support
0 0.23 0.10 0.14 744974
1 0.85 0.94 0.89 4060539
accuracy 0.81 4805513
macro avg 0.54 0.52 0.51 4805513
weighted avg 0.75 0.81 0.78 4805513
Accuracy: 0.8098831487918148
40-80%
precision recall f1-score support
0 0.13 0.08 0.10 235909
1 0.92 0.95 0.93 2483775
accuracy 0.87 2719684
macro avg 0.52 0.52 0.52 2719684
weighted avg 0.85 0.87 0.86 2719684
Accuracy: 0.8726164510288695
80-90%
precision recall f1-score support
0 0.09 0.07 0.08 18577
1 0.94 0.95 0.95 296772
accuracy 0.90 315349
macro avg 0.51 0.51 0.51 315349
weighted avg 0.89 0.90 0.90 315349
Accuracy: 0.8983221763823573
90-100%
precision recall f1-score support
0 0.08 0.07 0.07 13620
1 0.95 0.95 0.95 240209
accuracy 0.90 253829
macro avg 0.51 0.51 0.51 253829
weighted avg 0.90 0.90 0.90 253829
Accuracy: 0.9028440406730516
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.72 0.74 24893266
1 0.68 0.71 0.69 20563095
accuracy 0.72 45456361
macro avg 0.71 0.72 0.71 45456361
weighted avg 0.72 0.72 0.72 45456361
Accuracy: 0.7164894259793475
precision recall f1-score support
0 0.75 0.72 0.74 24893266
1 0.68 0.71 0.69 20563095
accuracy 0.72 45456361
macro avg 0.71 0.72 0.71 45456361
weighted avg 0.72 0.72 0.72 45456361
Accuracy: 0.7164893819811049
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.04 0.06 0.05 3872
accuracy 1.00 4877461
macro avg 0.52 0.53 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.997983171982308
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.04 0.06 0.05 3872
accuracy 1.00 4877461
macro avg 0.52 0.53 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.997983171982308
1-10%
precision recall f1-score support
0 0.79 0.71 0.75 16949103
1 0.50 0.61 0.55 8016772
accuracy 0.68 24965875
macro avg 0.64 0.66 0.65 24965875
weighted avg 0.70 0.68 0.68 24965875
Accuracy: 0.676444306478343
precision recall f1-score support
0 0.84 0.77 0.81 21822692
1 0.50 0.61 0.55 8020644
accuracy 0.73 29843336
macro avg 0.67 0.69 0.68 29843336
weighted avg 0.75 0.73 0.74 29843336
Accuracy: 0.7289951766786394
10-20%
precision recall f1-score support
0 0.80 0.74 0.77 23880186
1 0.59 0.67 0.63 13481800
accuracy 0.71 37361986
macro avg 0.69 0.70 0.70 37361986
weighted avg 0.72 0.71 0.72 37361986
Accuracy: 0.7126612594951457
precision recall f1-score support
0 0.36 0.37 0.36 2057494
1 0.76 0.75 0.76 5461156
accuracy 0.65 7518650
macro avg 0.56 0.56 0.56 7518650
weighted avg 0.65 0.65 0.65 7518650
Accuracy: 0.6478280010374203
20-40%
precision recall f1-score support
0 0.77 0.73 0.75 24625160
1 0.64 0.69 0.67 17542339
accuracy 0.71 42167499
macro avg 0.71 0.71 0.71 42167499
weighted avg 0.72 0.71 0.71 42167499
Accuracy: 0.7129064021558404
precision recall f1-score support
0 0.22 0.32 0.26 744974
1 0.86 0.79 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.71 0.74 4805513
Accuracy: 0.7148123415751867
40-80%
precision recall f1-score support
0 0.13 0.30 0.18 235909
1 0.92 0.80 0.86 2483775
accuracy 0.76 2719684
macro avg 0.52 0.55 0.52 2719684
weighted avg 0.85 0.76 0.80 2719684
Accuracy: 0.7590021487790494
precision recall f1-score support
0 0.75 0.72 0.74 24861069
1 0.67 0.71 0.69 20026114
accuracy 0.72 44887183
macro avg 0.71 0.71 0.71 44887183
weighted avg 0.72 0.72 0.72 44887183
Accuracy: 0.715699312206783
80-90%
precision recall f1-score support
0 0.09 0.29 0.13 18577
1 0.95 0.81 0.87 296772
accuracy 0.78 315349
macro avg 0.52 0.55 0.50 315349
weighted avg 0.90 0.78 0.83 315349
Accuracy: 0.7766760002410028
90-100%
precision recall f1-score support
0 0.08 0.30 0.13 13620
1 0.95 0.81 0.88 240209
accuracy 0.78 253829
macro avg 0.52 0.55 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7814394730310563
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.84 0.75 24893266
1 0.73 0.51 0.60 20563095
accuracy 0.69 45456361
macro avg 0.70 0.68 0.67 45456361
weighted avg 0.70 0.69 0.68 45456361
Accuracy: 0.6912363046395201
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.01 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991007616462746
1-10%
precision recall f1-score support
0 0.74 0.85 0.79 16949103
1 0.55 0.38 0.45 8016772
accuracy 0.70 24965875
macro avg 0.65 0.62 0.62 24965875
weighted avg 0.68 0.70 0.68 24965875
Accuracy: 0.7004711431103456
10-20%
precision recall f1-score support
0 0.32 0.56 0.41 2057494
1 0.77 0.56 0.64 5461156
accuracy 0.56 7518650
macro avg 0.54 0.56 0.53 7518650
weighted avg 0.65 0.56 0.58 7518650
Accuracy: 0.5557657292200062
20-40%
precision recall f1-score support
0 0.19 0.49 0.27 744974
1 0.87 0.61 0.72 4060539
accuracy 0.59 4805513
macro avg 0.53 0.55 0.49 4805513
weighted avg 0.76 0.59 0.65 4805513
Accuracy: 0.5906813695020698
40-80%
precision recall f1-score support
0 0.11 0.47 0.18 235909
1 0.93 0.63 0.75 2483775
accuracy 0.62 2719684
macro avg 0.52 0.55 0.46 2719684
weighted avg 0.86 0.62 0.70 2719684
Accuracy: 0.6189594085195191
80-90%
precision recall f1-score support
0 0.07 0.46 0.13 18577
1 0.95 0.64 0.77 296772
accuracy 0.63 315349
macro avg 0.51 0.55 0.45 315349
weighted avg 0.90 0.63 0.73 315349
Accuracy: 0.6303682586594535
90-100%
precision recall f1-score support
0 0.07 0.46 0.12 13620
1 0.95 0.64 0.77 240209
accuracy 0.63 253829
macro avg 0.51 0.55 0.44 253829
weighted avg 0.91 0.63 0.73 253829
Accuracy: 0.6336628202451257
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6672459586246958
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9968677399146709
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.82 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.652054931817481
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.64 0.57 0.56 8856813
Accuracy: 0.5747530178180346
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626309490602021
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7309125126555893
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7595617294000977
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.77 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.77 0.78 666440
Accuracy: 0.7651371466298541
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166788554863041
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166788554863041
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781928557780126
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8633401818997707
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7951380544016201
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6614038255069854
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6158679528275065
40-80%
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217188310419808
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5963771067833958
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5875665448014881
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.5864188824200228
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.63 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6770472795978414
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.56 0.29 0.38 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062507670415388
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6534576263493426
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.48 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5216986312675191
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44304067655291524
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4095989796874923
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.4037962907388512
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.23 0.35 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.54 49785283
macro avg 0.66 0.58 0.50 49785283
weighted avg 0.68 0.54 0.48 49785283
Accuracy: 0.5389093198485986
0-1%
precision recall f1-score support
0 0.87 0.23 0.36 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.50 44863141
macro avg 0.65 0.59 0.47 44863141
weighted avg 0.70 0.50 0.45 44863141
Accuracy: 0.49991528680526404
1-10%
precision recall f1-score support
0 0.08 0.07 0.07 287564
1 0.94 0.95 0.94 4164787
accuracy 0.89 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.89 0.89 4452351
Accuracy: 0.8895844015891828
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9368210988537745
20-40%
precision recall f1-score support
0 0.01 0.10 0.02 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9418945796215717
40-80%
precision recall f1-score support
0 0.01 0.16 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.94 0.97 65403
Accuracy: 0.9425561518584774
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9440834010289737
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.94 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9431977559607293
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.51 0.61 28055468
1 0.55 0.78 0.65 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.62 49785283
Accuracy: 0.6269150061876719
precision recall f1-score support
0 0.75 0.51 0.61 28055468
1 0.55 0.78 0.65 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.62 49785283
Accuracy: 0.6269150061876719
0-1%
precision recall f1-score support
0 0.79 0.51 0.62 27764588
1 0.50 0.78 0.60 17098553
accuracy 0.61 44863141
macro avg 0.64 0.64 0.61 44863141
weighted avg 0.68 0.61 0.61 44863141
Accuracy: 0.6129199023314038
1-10%
precision recall f1-score support
0 0.07 0.23 0.11 287564
1 0.94 0.79 0.86 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.81 4452351
Accuracy: 0.7517740627367429
precision recall f1-score support
0 0.75 0.51 0.61 28052152
1 0.55 0.78 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.62 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6254560737222291
10-20%
precision recall f1-score support
0 0.75 0.51 0.61 28054607
1 0.55 0.78 0.64 21520956
accuracy 0.63 49575563
macro avg 0.65 0.64 0.63 49575563
weighted avg 0.66 0.63 0.62 49575563
Accuracy: 0.6262555202852663
precision recall f1-score support
0 0.01 0.24 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.78 260071
macro avg 0.50 0.51 0.45 260071
weighted avg 0.98 0.78 0.87 260071
Accuracy: 0.7778491258156427
20-40%
precision recall f1-score support
0 0.75 0.51 0.61 28055266
1 0.55 0.78 0.65 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.62 49706790
Accuracy: 0.6266689319507456
precision recall f1-score support
0 0.01 0.28 0.01 659
1 1.00 0.79 0.88 130568
accuracy 0.78 131227
macro avg 0.50 0.53 0.45 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7828495660191881
40-80%
precision recall f1-score support
0 0.00 0.27 0.01 169
1 1.00 0.78 0.88 65234
accuracy 0.78 65403
macro avg 0.50 0.52 0.44 65403
weighted avg 1.00 0.78 0.88 65403
Accuracy: 0.7822576946011651
80-90%
precision recall f1-score support
0 0.00 0.33 0.01 15
1 1.00 0.78 0.88 7371
accuracy 0.78 7386
macro avg 0.50 0.56 0.44 7386
weighted avg 1.00 0.78 0.87 7386
Accuracy: 0.7787706471703222
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.56 0.45 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7934782608695652
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.77 0.71 28055468
1 0.62 0.48 0.54 21729815
accuracy 0.64 49785283
macro avg 0.64 0.62 0.62 49785283
weighted avg 0.64 0.64 0.63 49785283
Accuracy: 0.6420526323009954
0-1%
precision recall f1-score support
0 0.70 0.77 0.74 27764588
1 0.56 0.47 0.51 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.62 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6572652369569932
1-10%
precision recall f1-score support
0 0.07 0.51 0.12 287564
1 0.94 0.50 0.65 4164787
accuracy 0.50 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.50 0.62 4452351
Accuracy: 0.5033585627009192
10-20%
precision recall f1-score support
0 0.01 0.50 0.02 2455
1 0.99 0.50 0.67 257616
accuracy 0.50 260071
macro avg 0.50 0.50 0.34 260071
weighted avg 0.98 0.50 0.66 260071
Accuracy: 0.5031856685289786
20-40%
precision recall f1-score support
0 0.01 0.55 0.01 659
1 1.00 0.50 0.67 130568
accuracy 0.50 131227
macro avg 0.50 0.52 0.34 131227
weighted avg 0.99 0.50 0.67 131227
Accuracy: 0.5033796398606994
40-80%
precision recall f1-score support
0 0.00 0.53 0.01 169
1 1.00 0.51 0.67 65234
accuracy 0.51 65403
macro avg 0.50 0.52 0.34 65403
weighted avg 1.00 0.51 0.67 65403
Accuracy: 0.5063682094093543
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.50 0.67 7371
accuracy 0.50 7386
macro avg 0.50 0.42 0.33 7386
weighted avg 1.00 0.50 0.66 7386
Accuracy: 0.499729217438397
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.51 0.68 5686
accuracy 0.51 5704
macro avg 0.50 0.53 0.34 5704
weighted avg 0.99 0.51 0.68 5704
Accuracy: 0.5136746143057503
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.57 47734596
macro avg 0.67 0.60 0.54 47734596
weighted avg 0.69 0.57 0.53 47734596
Accuracy: 0.5734690830943662
0-1%
precision recall f1-score support
0 0.99 0.44 0.61 12053010
1 0.06 0.91 0.12 508421
accuracy 0.46 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.46 0.59 12561431
Accuracy: 0.4628935190584576
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.53 0.46 27835287
weighted avg 0.59 0.55 0.46 27835287
Accuracy: 0.5500978667832669
10-20%
precision recall f1-score support
0 0.18 0.10 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8238428186218254
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.8721297805906097
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8973220784975066
80-90%
precision recall f1-score support
0 0.04 0.12 0.06 3093
1 0.98 0.93 0.95 120943
accuracy 0.91 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9071398626205295
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9089592031792344
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6589189316696008
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6589189316696008
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.776987749246085
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.776987749246085
1-10%
precision recall f1-score support
0 0.80 0.58 0.68 25421477
1 0.52 0.76 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6481008679962565
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5899371542316054
10-20%
precision recall f1-score support
0 0.77 0.58 0.66 25924842
1 0.56 0.76 0.64 18362515
accuracy 0.65 44287357
macro avg 0.67 0.67 0.65 44287357
weighted avg 0.68 0.65 0.65 44287357
Accuracy: 0.6531529077248841
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.71 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.71 0.74 3890639
Accuracy: 0.7056085131516956
20-40%
precision recall f1-score support
0 0.75 0.58 0.65 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.6565860946396821
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7283769446620328
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.59 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6585215706666001
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.76 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.47 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7397374976828722
80-90%
precision recall f1-score support
0 0.03 0.32 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.51 0.54 0.46 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7428327259827792
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7441420594597313
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.76 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6657563834833754
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.20 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8974491839345374
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.55 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.5894146879103492
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5584344885248927
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.56 0.70 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.66 2117913
Accuracy: 0.5591060633746523
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5591344567070111
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5583056531974588
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5577745359424519
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.26 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.59157576194842
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.13 0.20 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9571753409305038
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.15 0.25 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5207842117812544
10-20%
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.28 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.25682979068476924
20-40%
precision recall f1-score support
0 0.07 0.85 0.13 147488
1 0.94 0.17 0.29 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.28 2117913
Accuracy: 0.21765294419553588
40-80%
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.17 0.29 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.18 1105895
weighted avg 0.93 0.20 0.28 1105895
Accuracy: 0.19608281075508976
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.17 0.29 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.17 124036
weighted avg 0.95 0.19 0.29 124036
Accuracy: 0.18934825373278724
90-100%
precision recall f1-score support
0 0.02 0.85 0.05 2328
1 0.98 0.17 0.29 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.28 99395
Accuracy: 0.18537149756023946
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.588235582694356
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7155848093916076
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.4500897324848418
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7093216202376756
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8020350792933033
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8549563111008485
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8754871586718207
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.879733994145665
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755377756701642
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755377756701642
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9478956366847423
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9478956366847423
1-10%
precision recall f1-score support
0 0.83 0.54 0.65 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6123784165385752
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.6672138463340693
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666169726630699
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6642478370452143
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6711966483950115
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7068027908778938
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.729682566062822
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747402705133
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.737205445395419
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.7399548514945101
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853518476765001
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888999625009816
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.58 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6866411051084731
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.587527149155766
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5895420530544814
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.589262576093399
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5877012452869678
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5881203487387178
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6235824288706261
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988678535820174
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.24 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7086113344715537
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.39 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.4131598092742713
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.26 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.34675049261129876
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.26 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.31007793552486246
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.39 315349
Accuracy: 0.2940519868463195
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.29147969696134013
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6018024859922315
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667077204565938
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47376198708915684
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138466850321893
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609011060154826
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643829829472137
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8080019044517793
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164861052757938
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.69614118843601
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.69614118843601
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993296769868883
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993296769868883
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7609895397819605
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7319263772289833
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7036091549143464
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.6112156822098423
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6925724775822014
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628310932992711
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.78 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.694948831410992
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7069112421336827
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7250978128407415
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7288908228797791
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.78 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204513851044263
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8360128126618654
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561427908661953
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6398600832073155
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6383510213805015
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6362965813610416
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6363303523197887
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6937823693474318
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9026463011762248
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646303811540336
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5518986134795105
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4866735751295337
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4590259173191634
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.45408438869215534
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.73 0.58 0.64 28055468
1 0.57 0.72 0.63 21729815
accuracy 0.64 49785283
macro avg 0.65 0.65 0.64 49785283
weighted avg 0.66 0.64 0.64 49785283
Accuracy: 0.6378637839620195
0-1%
precision recall f1-score support
0 0.77 0.58 0.66 27764588
1 0.51 0.72 0.60 17098553
accuracy 0.63 44863141
macro avg 0.64 0.65 0.63 44863141
weighted avg 0.67 0.63 0.64 44863141
Accuracy: 0.6305081492176395
1-10%
precision recall f1-score support
0 0.07 0.29 0.11 287564
1 0.94 0.73 0.82 4164787
accuracy 0.70 4452351
macro avg 0.50 0.51 0.47 4452351
weighted avg 0.88 0.70 0.78 4452351
Accuracy: 0.7026568660018044
10-20%
precision recall f1-score support
0 0.01 0.29 0.02 2455
1 0.99 0.73 0.84 257616
accuracy 0.72 260071
macro avg 0.50 0.51 0.43 260071
weighted avg 0.98 0.72 0.83 260071
Accuracy: 0.7241599409392051
20-40%
precision recall f1-score support
0 0.01 0.31 0.01 659
1 1.00 0.73 0.84 130568
accuracy 0.73 131227
macro avg 0.50 0.52 0.43 131227
weighted avg 0.99 0.73 0.84 131227
Accuracy: 0.7286153002049883
40-80%
precision recall f1-score support
0 0.00 0.33 0.01 169
1 1.00 0.73 0.84 65234
accuracy 0.73 65403
macro avg 0.50 0.53 0.42 65403
weighted avg 1.00 0.73 0.84 65403
Accuracy: 0.7290949956424018
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.72 0.84 7371
accuracy 0.72 7386
macro avg 0.50 0.53 0.42 7386
weighted avg 1.00 0.72 0.84 7386
Accuracy: 0.7217709179528838
90-100%
precision recall f1-score support
0 0.00 0.39 0.01 18
1 1.00 0.74 0.85 5686
accuracy 0.74 5704
macro avg 0.50 0.56 0.43 5704
weighted avg 0.99 0.74 0.85 5704
Accuracy: 0.7389551192145862
Treshold: 0.5
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
10-20%
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.74 0.59 0.66 26119367
1 0.60 0.75 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6611409888123909
0-1%
precision recall f1-score support
0 0.98 0.79 0.88 12053010
1 0.12 0.69 0.21 508421
accuracy 0.79 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.79 0.85 12561431
Accuracy: 0.7887461229536666
1-10%
precision recall f1-score support
0 0.61 0.42 0.50 13368467
1 0.58 0.75 0.65 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.590996636751042
10-20%
precision recall f1-score support
0 0.16 0.32 0.21 503365
1 0.88 0.75 0.81 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.70 0.73 3890639
Accuracy: 0.6968156130651032
20-40%
precision recall f1-score support
0 0.09 0.32 0.14 147488
1 0.94 0.75 0.83 1970425
accuracy 0.72 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.72 0.78 2117913
Accuracy: 0.7180002200279237
40-80%
precision recall f1-score support
0 0.05 0.32 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7285131047703444
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7316504885678351
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.83 99395
Accuracy: 0.7327028522561497
Treshold: 0.5
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.26 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.5914927194523654
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.26 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.5914927194523654
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.13 0.20 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9571873618539162
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.13 0.20 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9571873618539162
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.15 0.25 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5207089116774689
10-20%
precision recall f1-score support
0 0.61 0.95 0.75 25924842
1 0.69 0.16 0.25 18362515
accuracy 0.62 44287357
macro avg 0.65 0.55 0.50 44287357
weighted avg 0.65 0.62 0.54 44287357
Accuracy: 0.6213051503615354
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.28 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.25657430566032985
20-40%
precision recall f1-score support
0 0.59 0.95 0.73 26072330
1 0.71 0.16 0.26 20332940
accuracy 0.60 46405270
macro avg 0.65 0.55 0.49 46405270
weighted avg 0.64 0.60 0.52 46405270
Accuracy: 0.602869501675133
precision recall f1-score support
0 0.07 0.85 0.13 147488
1 0.94 0.17 0.29 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.28 2117913
Accuracy: 0.21736445264748835
40-80%
precision recall f1-score support
0 0.58 0.95 0.72 26113946
1 0.72 0.16 0.26 21397219
accuracy 0.59 47511165
macro avg 0.65 0.55 0.49 47511165
weighted avg 0.64 0.59 0.51 47511165
Accuracy: 0.5933936370535221
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.17 0.29 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.18 1105895
weighted avg 0.93 0.20 0.28 1105895
Accuracy: 0.19576994199268466
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.17 0.29 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.17 124036
weighted avg 0.95 0.19 0.29 124036
Accuracy: 0.18908220194137185
90-100%
precision recall f1-score support
0 0.02 0.85 0.05 2328
1 0.98 0.17 0.29 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.28 99395
Accuracy: 0.1850193671713869
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.75 0.61 0.68 24893266
1 0.62 0.76 0.68 20563095
accuracy 0.68 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.69 0.68 0.68 45456361
Accuracy: 0.6774471234069969
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.01 0.70 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.98 4877461
Accuracy: 0.9533429380573212
1-10%
precision recall f1-score support
0 0.82 0.56 0.67 16949103
1 0.44 0.75 0.56 8016772
accuracy 0.62 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.62 0.63 24965875
Accuracy: 0.619287126928257
10-20%
precision recall f1-score support
0 0.38 0.38 0.38 2057494
1 0.77 0.76 0.76 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6589055216029474
20-40%
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.76 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.73 4805513
Accuracy: 0.6985753654188429
40-80%
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.7199134164116126
80-90%
precision recall f1-score support
0 0.08 0.37 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.726709138129501
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7294123208931997
Treshold: 0.5
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6248361367950241
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6248361367950241
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988487862845034
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988487862845034
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.67 24965875
Accuracy: 0.7089933359035083
precision recall f1-score support
0 0.77 0.94 0.85 21822692
1 0.62 0.25 0.35 8020644
accuracy 0.76 29843336
macro avg 0.69 0.60 0.60 29843336
weighted avg 0.73 0.76 0.72 29843336
Accuracy: 0.756366010823991
10-20%
precision recall f1-score support
0 0.69 0.93 0.79 23880186
1 0.68 0.26 0.37 13481800
accuracy 0.69 37361986
macro avg 0.68 0.59 0.58 37361986
weighted avg 0.69 0.69 0.64 37361986
Accuracy: 0.6877995190084382
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.27 0.40 5461156
accuracy 0.42 7518650
macro avg 0.54 0.54 0.42 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.4156425688122203
20-40%
precision recall f1-score support
0 0.64 0.93 0.76 24625160
1 0.72 0.26 0.38 17542339
accuracy 0.65 42167499
macro avg 0.68 0.59 0.57 42167499
weighted avg 0.67 0.65 0.60 42167499
Accuracy: 0.6493133728419606
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.35009061467526986
40-80%
precision recall f1-score support
0 0.09 0.78 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.40 2719684
Accuracy: 0.31396735797247033
precision recall f1-score support
0 0.61 0.93 0.73 24861069
1 0.74 0.26 0.39 20026114
accuracy 0.63 44887183
macro avg 0.67 0.59 0.56 44887183
weighted avg 0.67 0.63 0.58 44887183
Accuracy: 0.6289949850495185
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.27 0.42 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.29791437423299266
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.30 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.30 0.40 253829
Accuracy: 0.29554148659136664
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.708778291121913
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678158968139533
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299312179222932
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623895403711446
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6928008258392393
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7045336806737615
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071709381189605
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159759276497204
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905730044175299
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174393463652633
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6587764695946499
20-40%
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7404618844658803
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5330247902594449
40-80%
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6936507647401948
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45800663053619994
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4261025838378157
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.4205344817237861
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5739564928811061
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9004601934549565
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5722238913704061
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.35400911524706274
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.08 6296625
Accuracy: 0.212158259384988
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15274344666301565
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.83 0.14 0.05 666440
Accuracy: 0.14063681651761598
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.38 0.51 28055468
1 0.52 0.87 0.65 21729815
accuracy 0.59 49785283
macro avg 0.65 0.62 0.58 49785283
weighted avg 0.67 0.59 0.57 49785283
Accuracy: 0.5935840718229923
0-1%
precision recall f1-score support
0 0.82 0.38 0.52 27764588
1 0.46 0.87 0.60 17098553
accuracy 0.57 44863141
macro avg 0.64 0.63 0.56 44863141
weighted avg 0.69 0.57 0.55 44863141
Accuracy: 0.567638788376409
1-10%
precision recall f1-score support
0 0.07 0.15 0.10 287564
1 0.94 0.87 0.90 4164787
accuracy 0.83 4452351
macro avg 0.51 0.51 0.50 4452351
weighted avg 0.88 0.83 0.85 4452351
Accuracy: 0.8263461259006758
10-20%
precision recall f1-score support
0 0.01 0.15 0.02 2455
1 0.99 0.87 0.93 257616
accuracy 0.86 260071
macro avg 0.50 0.51 0.47 260071
weighted avg 0.98 0.86 0.92 260071
Accuracy: 0.8630489366365338
20-40%
precision recall f1-score support
0 0.01 0.18 0.01 659
1 1.00 0.87 0.93 130568
accuracy 0.87 131227
macro avg 0.50 0.53 0.47 131227
weighted avg 0.99 0.87 0.92 131227
Accuracy: 0.8678930403042057
40-80%
precision recall f1-score support
0 0.00 0.19 0.01 169
1 1.00 0.87 0.93 65234
accuracy 0.87 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.87 0.93 65403
Accuracy: 0.8676666207972111
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.87 0.93 7371
accuracy 0.87 7386
macro avg 0.50 0.50 0.47 7386
weighted avg 1.00 0.87 0.93 7386
Accuracy: 0.8696181965881398
90-100%
precision recall f1-score support
0 0.01 0.28 0.01 18
1 1.00 0.88 0.93 5686
accuracy 0.88 5704
macro avg 0.50 0.58 0.47 5704
weighted avg 0.99 0.88 0.93 5704
Accuracy: 0.8753506311360448
Treshold: 0.5
All
precision recall f1-score support
0 0.62 0.85 0.72 28055468
1 0.64 0.34 0.44 21729815
accuracy 0.63 49785283
macro avg 0.63 0.59 0.58 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6273655208508104
precision recall f1-score support
0 0.62 0.85 0.72 28055468
1 0.64 0.34 0.44 21729815
accuracy 0.63 49785283
macro avg 0.63 0.59 0.58 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6273655208508104
0-1%
precision recall f1-score support
0 0.67 0.85 0.75 27764588
1 0.58 0.33 0.42 17098553
accuracy 0.65 44863141
macro avg 0.63 0.59 0.59 44863141
weighted avg 0.64 0.65 0.63 44863141
Accuracy: 0.6542890075396193
precision recall f1-score support
0 0.67 0.85 0.75 27764588
1 0.58 0.33 0.42 17098553
accuracy 0.65 44863141
macro avg 0.63 0.59 0.59 44863141
weighted avg 0.64 0.65 0.63 44863141
Accuracy: 0.6542890075396193
1-10%
precision recall f1-score support
0 0.07 0.65 0.12 287564
1 0.94 0.37 0.53 4164787
accuracy 0.38 4452351
macro avg 0.50 0.51 0.32 4452351
weighted avg 0.88 0.38 0.50 4452351
Accuracy: 0.3832494338384373
precision recall f1-score support
0 0.63 0.85 0.72 28052152
1 0.63 0.34 0.44 21263340
accuracy 0.63 49315492
macro avg 0.63 0.59 0.58 49315492
weighted avg 0.63 0.63 0.60 49315492
Accuracy: 0.629818739312182
10-20%
precision recall f1-score support
0 0.63 0.85 0.72 28054607
1 0.64 0.34 0.44 21520956
accuracy 0.63 49575563
macro avg 0.63 0.59 0.58 49575563
weighted avg 0.63 0.63 0.60 49575563
Accuracy: 0.628455757527151
precision recall f1-score support
0 0.01 0.63 0.02 2455
1 0.99 0.37 0.54 257616
accuracy 0.37 260071
macro avg 0.50 0.50 0.28 260071
weighted avg 0.98 0.37 0.53 260071
Accuracy: 0.370002806925801
20-40%
precision recall f1-score support
0 0.62 0.85 0.72 28055266
1 0.64 0.34 0.44 21651524
accuracy 0.63 49706790
macro avg 0.63 0.59 0.58 49706790
weighted avg 0.63 0.63 0.60 49706790
Accuracy: 0.6277698077063516
precision recall f1-score support
0 0.01 0.67 0.01 659
1 1.00 0.37 0.54 130568
accuracy 0.37 131227
macro avg 0.50 0.52 0.27 131227
weighted avg 0.99 0.37 0.53 131227
Accuracy: 0.36862840726374907
40-80%
precision recall f1-score support
0 0.62 0.85 0.72 28055435
1 0.64 0.34 0.44 21716758
accuracy 0.63 49772193
macro avg 0.63 0.59 0.58 49772193
weighted avg 0.63 0.63 0.60 49772193
Accuracy: 0.6274344190540289
precision recall f1-score support
0 0.00 0.64 0.01 169
1 1.00 0.37 0.54 65234
accuracy 0.37 65403
macro avg 0.50 0.51 0.27 65403
weighted avg 0.99 0.37 0.54 65403
Accuracy: 0.37253642799259973
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.36 0.53 7371
accuracy 0.36 7386
macro avg 0.50 0.38 0.26 7386
weighted avg 0.99 0.36 0.53 7386
Accuracy: 0.3577037638776063
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.37 0.54 5686
accuracy 0.38 5704
macro avg 0.50 0.52 0.28 5704
weighted avg 0.99 0.38 0.54 5704
Accuracy: 0.3753506311360449
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.43 0.56 26119367
1 0.56 0.86 0.68 21615229
accuracy 0.63 47734596
macro avg 0.67 0.65 0.62 47734596
weighted avg 0.68 0.63 0.61 47734596
Accuracy: 0.626161159926859
0-1%
precision recall f1-score support
0 0.99 0.63 0.77 12053010
1 0.09 0.82 0.16 508421
accuracy 0.64 12561431
macro avg 0.54 0.73 0.46 12561431
weighted avg 0.95 0.64 0.75 12561431
Accuracy: 0.6417771191833159
1-10%
precision recall f1-score support
0 0.64 0.27 0.37 13368467
1 0.56 0.86 0.68 14466820
accuracy 0.57 27835287
macro avg 0.60 0.56 0.53 27835287
weighted avg 0.60 0.57 0.53 27835287
Accuracy: 0.5741645846870557
10-20%
precision recall f1-score support
0 0.18 0.20 0.19 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7759977217110094
20-40%
precision recall f1-score support
0 0.10 0.20 0.13 147488
1 0.94 0.86 0.89 1970425
accuracy 0.81 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.81 0.84 2117913
Accuracy: 0.8124006982345356
40-80%
precision recall f1-score support
0 0.05 0.21 0.09 41616
1 0.97 0.86 0.91 1064279
accuracy 0.83 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.83 0.88 1105895
Accuracy: 0.8309532098436109
80-90%
precision recall f1-score support
0 0.04 0.22 0.06 3093
1 0.98 0.85 0.91 120943
accuracy 0.84 124036
macro avg 0.51 0.54 0.49 124036
weighted avg 0.95 0.84 0.89 124036
Accuracy: 0.8368054435808958
90-100%
precision recall f1-score support
0 0.03 0.21 0.06 2328
1 0.98 0.85 0.91 97067
accuracy 0.84 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.84 0.89 99395
Accuracy: 0.8392072035816691
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.51 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618385751080831
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.51 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618385751080831
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9104785115644866
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9104785115644866
1-10%
precision recall f1-score support
0 0.73 0.79 0.76 25421477
1 0.59 0.51 0.55 14975241
accuracy 0.69 40396718
macro avg 0.66 0.65 0.65 40396718
weighted avg 0.68 0.69 0.68 40396718
Accuracy: 0.6866671198387948
precision recall f1-score support
0 0.56 0.67 0.61 13368467
1 0.62 0.51 0.56 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5856661366559648
10-20%
precision recall f1-score support
0 0.69 0.79 0.74 25924842
1 0.63 0.51 0.57 18362515
accuracy 0.67 44287357
macro avg 0.66 0.65 0.65 44287357
weighted avg 0.67 0.67 0.67 44287357
Accuracy: 0.6726487426197052
precision recall f1-score support
0 0.14 0.53 0.22 503365
1 0.88 0.53 0.66 3387274
accuracy 0.53 3890639
macro avg 0.51 0.53 0.44 3890639
weighted avg 0.79 0.53 0.60 3890639
Accuracy: 0.5270951635451143
20-40%
precision recall f1-score support
0 0.67 0.78 0.73 26072330
1 0.65 0.51 0.57 20332940
accuracy 0.67 46405270
macro avg 0.66 0.65 0.65 46405270
weighted avg 0.66 0.67 0.66 46405270
Accuracy: 0.6658570028791988
precision recall f1-score support
0 0.08 0.53 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.52 2117913
macro avg 0.51 0.52 0.40 2117913
weighted avg 0.88 0.52 0.63 2117913
Accuracy: 0.5238359649334038
40-80%
precision recall f1-score support
0 0.66 0.78 0.72 26113946
1 0.66 0.51 0.58 21397219
accuracy 0.66 47511165
macro avg 0.66 0.65 0.65 47511165
weighted avg 0.66 0.66 0.66 47511165
Accuracy: 0.6625068233961428
precision recall f1-score support
0 0.04 0.53 0.08 41616
1 0.97 0.52 0.68 1064279
accuracy 0.52 1105895
macro avg 0.50 0.53 0.38 1105895
weighted avg 0.93 0.52 0.65 1105895
Accuracy: 0.5219274885952102
80-90%
precision recall f1-score support
0 0.03 0.54 0.05 3093
1 0.98 0.52 0.68 120943
accuracy 0.52 124036
macro avg 0.50 0.53 0.37 124036
weighted avg 0.95 0.52 0.66 124036
Accuracy: 0.5201957496210777
90-100%
precision recall f1-score support
0 0.03 0.52 0.05 2328
1 0.98 0.52 0.68 97067
accuracy 0.52 99395
macro avg 0.50 0.52 0.36 99395
weighted avg 0.96 0.52 0.66 99395
Accuracy: 0.5191709844559586
Treshold: 0.6
All
precision recall f1-score support
0 0.57 0.96 0.72 26119367
1 0.73 0.14 0.24 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.48 47734596
weighted avg 0.64 0.59 0.50 47734596
Accuracy: 0.587386473324295
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.42 0.12 0.19 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.58 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9577317265843358
1-10%
precision recall f1-score support
0 0.50 0.93 0.65 13368467
1 0.67 0.14 0.23 14466820
accuracy 0.52 27835287
macro avg 0.58 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.5170108718476659
10-20%
precision recall f1-score support
0 0.13 0.87 0.23 503365
1 0.88 0.15 0.26 3387274
accuracy 0.24 3890639
macro avg 0.51 0.51 0.24 3890639
weighted avg 0.79 0.24 0.25 3890639
Accuracy: 0.2440750735290527
20-40%
precision recall f1-score support
0 0.07 0.86 0.13 147488
1 0.94 0.15 0.26 1970425
accuracy 0.20 2117913
macro avg 0.50 0.51 0.20 2117913
weighted avg 0.88 0.20 0.25 2117913
Accuracy: 0.20287991055345522
40-80%
precision recall f1-score support
0 0.04 0.87 0.07 41616
1 0.97 0.15 0.27 1064279
accuracy 0.18 1105895
macro avg 0.50 0.51 0.17 1105895
weighted avg 0.93 0.18 0.26 1105895
Accuracy: 0.18037969246628296
80-90%
precision recall f1-score support
0 0.03 0.87 0.05 3093
1 0.98 0.16 0.27 120943
accuracy 0.17 124036
macro avg 0.50 0.51 0.16 124036
weighted avg 0.95 0.17 0.26 124036
Accuracy: 0.1727804830855558
90-100%
precision recall f1-score support
0 0.02 0.86 0.05 2328
1 0.98 0.15 0.26 97067
accuracy 0.17 99395
macro avg 0.50 0.51 0.16 99395
weighted avg 0.96 0.17 0.26 99395
Accuracy: 0.16929423009205694
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.46 0.58 24893266
1 0.57 0.86 0.68 20563095
accuracy 0.64 45456361
macro avg 0.68 0.66 0.63 45456361
weighted avg 0.69 0.64 0.63 45456361
Accuracy: 0.640098995165935
0-1%
precision recall f1-score support
0 1.00 0.87 0.93 4873589
1 0.01 0.82 0.01 3872
accuracy 0.87 4877461
macro avg 0.50 0.84 0.47 4877461
weighted avg 1.00 0.87 0.93 4877461
Accuracy: 0.8715846215889783
1-10%
precision recall f1-score support
0 0.85 0.39 0.53 16949103
1 0.40 0.85 0.54 8016772
accuracy 0.54 24965875
macro avg 0.62 0.62 0.53 24965875
weighted avg 0.70 0.54 0.53 24965875
Accuracy: 0.5350006358679598
10-20%
precision recall f1-score support
0 0.39 0.24 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6908875928524403
20-40%
precision recall f1-score support
0 0.23 0.23 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.760439312098417
40-80%
precision recall f1-score support
0 0.13 0.23 0.17 235909
1 0.92 0.85 0.89 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.799854689000634
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.90 296772
accuracy 0.81 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8145134438352428
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8180349763029441
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.683884440287686
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.683884440287686
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.991675791974554
1-10%
precision recall f1-score support
0 0.78 0.76 0.77 16949103
1 0.53 0.55 0.54 8016772
accuracy 0.70 24965875
macro avg 0.65 0.66 0.66 24965875
weighted avg 0.70 0.70 0.70 24965875
Accuracy: 0.6958938951669028
precision recall f1-score support
0 0.83 0.81 0.82 21822692
1 0.52 0.55 0.54 8020644
accuracy 0.74 29843336
macro avg 0.68 0.68 0.68 29843336
weighted avg 0.75 0.74 0.75 29843336
Accuracy: 0.7442351619135341
10-20%
precision recall f1-score support
0 0.76 0.79 0.78 23880186
1 0.61 0.56 0.58 13481800
accuracy 0.71 37361986
macro avg 0.68 0.68 0.68 37361986
weighted avg 0.71 0.71 0.71 37361986
Accuracy: 0.7097588709550933
precision recall f1-score support
0 0.33 0.57 0.42 2057494
1 0.78 0.58 0.66 5461156
accuracy 0.57 7518650
macro avg 0.56 0.57 0.54 7518650
weighted avg 0.66 0.57 0.60 7518650
Accuracy: 0.5729141534717004
20-40%
precision recall f1-score support
0 0.72 0.79 0.75 24625160
1 0.65 0.56 0.60 17542339
accuracy 0.69 42167499
macro avg 0.68 0.67 0.68 42167499
weighted avg 0.69 0.69 0.69 42167499
Accuracy: 0.6934554975622339
precision recall f1-score support
0 0.19 0.54 0.28 744974
1 0.87 0.57 0.69 4060539
accuracy 0.57 4805513
macro avg 0.53 0.56 0.48 4805513
weighted avg 0.77 0.57 0.63 4805513
Accuracy: 0.566699746728393
40-80%
precision recall f1-score support
0 0.10 0.54 0.17 235909
1 0.93 0.56 0.70 2483775
accuracy 0.56 2719684
macro avg 0.52 0.55 0.44 2719684
weighted avg 0.86 0.56 0.66 2719684
Accuracy: 0.5617696761829684
precision recall f1-score support
0 0.69 0.78 0.73 24861069
1 0.68 0.56 0.62 20026114
accuracy 0.69 44887183
macro avg 0.68 0.67 0.67 44887183
weighted avg 0.68 0.69 0.68 44887183
Accuracy: 0.685476742882261
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.56 0.70 296772
accuracy 0.56 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.56 0.67 315349
Accuracy: 0.5585335612289876
90-100%
precision recall f1-score support
0 0.06 0.54 0.12 13620
1 0.96 0.56 0.71 240209
accuracy 0.56 253829
macro avg 0.51 0.55 0.41 253829
weighted avg 0.91 0.56 0.67 253829
Accuracy: 0.5580331640592683
Treshold: 0.6
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.75 0.24 0.37 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.55 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.620370425164478
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.26 0.20 0.22 3872
accuracy 1.00 4877461
macro avg 0.63 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9989150092640413
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.23 0.34 8016772
accuracy 0.71 24965875
macro avg 0.67 0.58 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7076238665778788
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.38 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.39 7518650
Accuracy: 0.40682888550471163
20-40%
precision recall f1-score support
0 0.16 0.80 0.27 744974
1 0.87 0.25 0.39 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.33 4805513
weighted avg 0.76 0.34 0.37 4805513
Accuracy: 0.3381197803439508
40-80%
precision recall f1-score support
0 0.09 0.80 0.17 235909
1 0.93 0.25 0.40 2483775
accuracy 0.30 2719684
macro avg 0.51 0.53 0.28 2719684
weighted avg 0.86 0.30 0.38 2719684
Accuracy: 0.30031577197939174
80-90%
precision recall f1-score support
0 0.06 0.80 0.12 18577
1 0.95 0.25 0.40 296772
accuracy 0.28 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.28 0.38 315349
Accuracy: 0.2837491160587159
90-100%
precision recall f1-score support
0 0.06 0.80 0.11 13620
1 0.96 0.25 0.40 240209
accuracy 0.28 253829
macro avg 0.51 0.53 0.25 253829
weighted avg 0.91 0.28 0.38 253829
Accuracy: 0.28080715757458763
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.81 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6673695696224313
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9968799979870955
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.81 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6523933741457124
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.65 0.57 0.56 8856813
Accuracy: 0.5749049912197537
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626296668315302
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7308189704802176
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7594507186098489
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.76 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7649900966328552
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166907377486401
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166907377486401
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632954968131981
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7951106731260523
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6613964865239901
20-40%
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466097603982181
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.61591061607241
40-80%
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217266218634771
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5964665197625713
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5876837228578617
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.5865359222135527
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6773175060585603
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062287391819608
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6536779087466338
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5221699085875866
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44367514343001213
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4102551768031853
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.40443400756257125
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.96 0.29 0.45 28055468
1 0.52 0.98 0.68 21729815
accuracy 0.59 49785283
macro avg 0.74 0.64 0.56 49785283
weighted avg 0.77 0.59 0.55 49785283
Accuracy: 0.5934621683279374
0-1%
precision recall f1-score support
0 0.96 0.29 0.45 27764588
1 0.46 0.98 0.63 17098553
accuracy 0.56 44863141
macro avg 0.71 0.64 0.54 44863141
weighted avg 0.77 0.56 0.52 44863141
Accuracy: 0.5553687602925529
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9351508899455591
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.49 0.59 28055468
1 0.55 0.80 0.65 21729815
accuracy 0.62 49785283
macro avg 0.65 0.64 0.62 49785283
weighted avg 0.67 0.62 0.62 49785283
Accuracy: 0.6244382903276858
precision recall f1-score support
0 0.76 0.49 0.59 28055468
1 0.55 0.80 0.65 21729815
accuracy 0.62 49785283
macro avg 0.65 0.64 0.62 49785283
weighted avg 0.67 0.62 0.62 49785283
Accuracy: 0.6244382903276858
0-1%
precision recall f1-score support
0 0.78 0.49 0.60 27764588
1 0.48 0.77 0.59 17098553
accuracy 0.60 44863141
macro avg 0.63 0.63 0.60 44863141
weighted avg 0.67 0.60 0.60 44863141
Accuracy: 0.5972438933778622
precision recall f1-score support
0 0.78 0.49 0.60 27764588
1 0.48 0.77 0.59 17098553
accuracy 0.60 44863141
macro avg 0.63 0.63 0.60 44863141
weighted avg 0.67 0.60 0.60 44863141
Accuracy: 0.5972438933778622
1-10%
precision recall f1-score support
0 0.09 0.12 0.10 287564
1 0.94 0.91 0.92 4164787
accuracy 0.86 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.86 0.87 4452351
Accuracy: 0.8597300617134633
precision recall f1-score support
0 0.76 0.49 0.59 28052152
1 0.54 0.80 0.65 21263340
accuracy 0.62 49315492
macro avg 0.65 0.64 0.62 49315492
weighted avg 0.67 0.62 0.62 49315492
Accuracy: 0.6209419344330986
10-20%
precision recall f1-score support
0 0.76 0.49 0.59 28054607
1 0.54 0.80 0.65 21520956
accuracy 0.62 49575563
macro avg 0.65 0.64 0.62 49575563
weighted avg 0.67 0.62 0.62 49575563
Accuracy: 0.6228689122501746
precision recall f1-score support
0 0.01 0.00 0.00 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.9882685881932242
20-40%
precision recall f1-score support
0 0.76 0.49 0.59 28055266
1 0.55 0.80 0.65 21651524
accuracy 0.62 49706790
macro avg 0.65 0.64 0.62 49706790
weighted avg 0.67 0.62 0.62 49706790
Accuracy: 0.623849578699409
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9943304350476655
40-80%
precision recall f1-score support
0 0.76 0.49 0.59 28055435
1 0.55 0.80 0.65 21716758
accuracy 0.62 49772193
macro avg 0.65 0.64 0.62 49772193
weighted avg 0.67 0.62 0.62 49772193
Accuracy: 0.6243402013650473
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9972172530312066
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9978337395071757
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.64 0.65 0.64 28055468
1 0.53 0.52 0.53 21729815
accuracy 0.59 49785283
macro avg 0.59 0.58 0.58 49785283
weighted avg 0.59 0.59 0.59 49785283
Accuracy: 0.5927141360228886
0-1%
precision recall f1-score support
0 0.69 0.65 0.67 27764588
1 0.48 0.52 0.50 17098553
accuracy 0.60 44863141
macro avg 0.58 0.59 0.58 44863141
weighted avg 0.61 0.60 0.60 44863141
Accuracy: 0.6006951006841006
1-10%
precision recall f1-score support
0 0.07 0.61 0.13 287564
1 0.95 0.47 0.63 4164787
accuracy 0.48 4452351
macro avg 0.51 0.54 0.38 4452351
weighted avg 0.89 0.48 0.60 4452351
Accuracy: 0.47973553747222536
10-20%
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.87 0.93 257616
accuracy 0.87 260071
macro avg 0.50 0.50 0.47 260071
weighted avg 0.98 0.87 0.92 260071
Accuracy: 0.8674131294915619
20-40%
precision recall f1-score support
0 0.01 0.09 0.01 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9298619948638619
40-80%
precision recall f1-score support
0 0.00 0.02 0.00 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.49 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9635184930354876
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.49 0.49 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.979555916598971
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.98 0.99 5686
accuracy 0.97 5704
macro avg 0.50 0.49 0.49 5704
weighted avg 0.99 0.97 0.98 5704
Accuracy: 0.9742286115007013
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.86 0.70 28055468
1 0.54 0.21 0.30 21729815
accuracy 0.58 49785283
macro avg 0.56 0.53 0.50 49785283
weighted avg 0.56 0.58 0.52 49785283
Accuracy: 0.5765067158501439
0-1%
precision recall f1-score support
0 0.65 0.86 0.74 27764588
1 0.53 0.25 0.34 17098553
accuracy 0.63 44863141
macro avg 0.59 0.55 0.54 44863141
weighted avg 0.60 0.63 0.59 44863141
Accuracy: 0.628007232039326
1-10%
precision recall f1-score support
0 0.06 0.94 0.12 287564
1 0.93 0.06 0.11 4164787
accuracy 0.12 4452351
macro avg 0.50 0.50 0.12 4452351
weighted avg 0.88 0.12 0.11 4452351
Accuracy: 0.11696472268246597
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.99 0.01 0.02 257616
accuracy 0.02 260071
macro avg 0.50 0.50 0.02 260071
weighted avg 0.99 0.02 0.02 260071
Accuracy: 0.01841804737936948
20-40%
precision recall f1-score support
0 0.01 0.99 0.01 659
1 0.99 0.00 0.01 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 0.99 0.01 0.01 131227
Accuracy: 0.009510237984561104
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.99 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 0.99 0.00 0.00 65403
Accuracy: 0.004693974282525266
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.50 0.50 0.00 7386
weighted avg 1.00 0.00 0.00 7386
Accuracy: 0.003926347143243975
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005434782608695652
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.42 0.57 26119367
1 0.58 0.96 0.72 21615229
accuracy 0.66 47734596
macro avg 0.75 0.69 0.65 47734596
weighted avg 0.77 0.66 0.64 47734596
Accuracy: 0.6623225427528495
0-1%
precision recall f1-score support
0 0.99 0.74 0.85 12053010
1 0.11 0.76 0.19 508421
accuracy 0.74 12561431
macro avg 0.55 0.75 0.52 12561431
weighted avg 0.95 0.74 0.82 12561431
Accuracy: 0.7413108426898177
1-10%
precision recall f1-score support
0 0.73 0.15 0.24 13368467
1 0.55 0.95 0.69 14466820
accuracy 0.56 27835287
macro avg 0.64 0.55 0.47 27835287
weighted avg 0.64 0.56 0.48 27835287
Accuracy: 0.5639647617069657
10-20%
precision recall f1-score support
0 0.18 0.01 0.03 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.53 0.50 0.48 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8644286966742482
20-40%
precision recall f1-score support
0 0.10 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9266981221608253
40-80%
precision recall f1-score support
0 0.05 0.00 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9603958784513901
80-90%
precision recall f1-score support
0 0.04 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9735318778419169
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9754716031993561
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.60 0.69 26119367
1 0.63 0.82 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.73 0.70 0.70 47734596
Accuracy: 0.7023233002747106
precision recall f1-score support
0 0.80 0.60 0.69 26119367
1 0.63 0.82 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.73 0.70 0.70 47734596
Accuracy: 0.7023233002747106
0-1%
precision recall f1-score support
0 0.98 0.87 0.92 12053010
1 0.16 0.58 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.73 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8596725166105676
precision recall f1-score support
0 0.98 0.87 0.92 12053010
1 0.16 0.58 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.73 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8596725166105676
1-10%
precision recall f1-score support
0 0.84 0.61 0.71 25421477
1 0.55 0.80 0.65 14975241
accuracy 0.68 40396718
macro avg 0.69 0.71 0.68 40396718
weighted avg 0.73 0.68 0.69 40396718
Accuracy: 0.6821889837684338
precision recall f1-score support
0 0.64 0.38 0.48 13368467
1 0.59 0.81 0.68 14466820
accuracy 0.60 27835287
macro avg 0.61 0.59 0.58 27835287
weighted avg 0.61 0.60 0.58 27835287
Accuracy: 0.6020947080588751
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 25924842
1 0.59 0.81 0.69 18362515
accuracy 0.69 44287357
macro avg 0.71 0.71 0.69 44287357
weighted avg 0.73 0.69 0.69 44287357
Accuracy: 0.6911962481752976
precision recall f1-score support
0 0.17 0.18 0.18 503365
1 0.88 0.87 0.88 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.79 3890639
Accuracy: 0.7847191682394589
20-40%
precision recall f1-score support
0 0.81 0.60 0.69 26072330
1 0.62 0.82 0.70 20332940
accuracy 0.70 46405270
macro avg 0.71 0.71 0.70 46405270
weighted avg 0.73 0.70 0.70 46405270
Accuracy: 0.6977214656869791
precision recall f1-score support
0 0.10 0.17 0.12 147488
1 0.93 0.88 0.91 1970425
accuracy 0.83 2117913
macro avg 0.52 0.53 0.52 2117913
weighted avg 0.88 0.83 0.85 2117913
Accuracy: 0.8341692977945742
40-80%
precision recall f1-score support
0 0.81 0.60 0.69 26113946
1 0.63 0.82 0.71 21397219
accuracy 0.70 47511165
macro avg 0.72 0.71 0.70 47511165
weighted avg 0.73 0.70 0.70 47511165
Accuracy: 0.7015260939191872
precision recall f1-score support
0 0.05 0.17 0.08 41616
1 0.96 0.89 0.92 1064279
accuracy 0.86 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.86 0.89 1105895
Accuracy: 0.8611748854999797
80-90%
precision recall f1-score support
0 0.04 0.17 0.06 3093
1 0.98 0.89 0.93 120943
accuracy 0.87 124036
macro avg 0.51 0.53 0.50 124036
weighted avg 0.95 0.87 0.91 124036
Accuracy: 0.8705698345641588
90-100%
precision recall f1-score support
0 0.04 0.17 0.06 2328
1 0.98 0.89 0.93 97067
accuracy 0.87 99395
macro avg 0.51 0.53 0.50 99395
weighted avg 0.96 0.87 0.91 99395
Accuracy: 0.8734342773781377
Treshold: 0.6
All
precision recall f1-score support
0 0.73 0.71 0.72 26119367
1 0.66 0.68 0.67 21615229
accuracy 0.70 47734596
macro avg 0.69 0.70 0.69 47734596
weighted avg 0.70 0.70 0.70 47734596
Accuracy: 0.6970736905367335
0-1%
precision recall f1-score support
0 0.98 0.92 0.95 12053010
1 0.20 0.46 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.904882811520439
1-10%
precision recall f1-score support
0 0.60 0.55 0.57 13368467
1 0.61 0.66 0.64 14466820
accuracy 0.61 27835287
macro avg 0.60 0.60 0.60 27835287
weighted avg 0.60 0.61 0.60 27835287
Accuracy: 0.6054185825351828
10-20%
precision recall f1-score support
0 0.16 0.35 0.22 503365
1 0.88 0.72 0.79 3387274
accuracy 0.67 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.67 0.72 3890639
Accuracy: 0.6739247717405804
20-40%
precision recall f1-score support
0 0.09 0.34 0.14 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7002516156234935
40-80%
precision recall f1-score support
0 0.05 0.34 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.71 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.714353532659068
80-90%
precision recall f1-score support
0 0.03 0.35 0.06 3093
1 0.98 0.73 0.83 120943
accuracy 0.72 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7191379921958141
90-100%
precision recall f1-score support
0 0.03 0.33 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.53 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7207505407716686
Treshold: 0.7
All
precision recall f1-score support
0 0.64 0.85 0.73 26119367
1 0.70 0.42 0.53 21615229
accuracy 0.66 47734596
macro avg 0.67 0.64 0.63 47734596
weighted avg 0.67 0.66 0.64 47734596
Accuracy: 0.6553020371220907
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.28 0.29 0.29 508421
accuracy 0.94 12561431
macro avg 0.63 0.63 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.941196906626323
1-10%
precision recall f1-score support
0 0.54 0.75 0.63 13368467
1 0.64 0.42 0.51 14466820
accuracy 0.58 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.60 0.58 0.57 27835287
Accuracy: 0.5781541250140514
10-20%
precision recall f1-score support
0 0.14 0.61 0.23 503365
1 0.88 0.45 0.59 3387274
accuracy 0.47 3890639
macro avg 0.51 0.53 0.41 3890639
weighted avg 0.79 0.47 0.55 3890639
Accuracy: 0.46630771963165946
20-40%
precision recall f1-score support
0 0.07 0.60 0.13 147488
1 0.94 0.44 0.60 1970425
accuracy 0.45 2117913
macro avg 0.51 0.52 0.37 2117913
weighted avg 0.88 0.45 0.57 2117913
Accuracy: 0.4530648803798834
40-80%
precision recall f1-score support
0 0.04 0.61 0.08 41616
1 0.97 0.44 0.60 1064279
accuracy 0.45 1105895
macro avg 0.50 0.52 0.34 1105895
weighted avg 0.93 0.45 0.58 1105895
Accuracy: 0.4451986852278019
80-90%
precision recall f1-score support
0 0.03 0.62 0.05 3093
1 0.98 0.44 0.61 120943
accuracy 0.44 124036
macro avg 0.50 0.53 0.33 124036
weighted avg 0.95 0.44 0.59 124036
Accuracy: 0.44258118610725916
90-100%
precision recall f1-score support
0 0.02 0.60 0.05 2328
1 0.98 0.44 0.60 97067
accuracy 0.44 99395
macro avg 0.50 0.52 0.33 99395
weighted avg 0.96 0.44 0.59 99395
Accuracy: 0.4395190904975099
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.38 0.53 24893266
1 0.56 0.94 0.70 20563095
accuracy 0.63 45456361
macro avg 0.72 0.66 0.61 45456361
weighted avg 0.73 0.63 0.61 45456361
Accuracy: 0.6317128641247811
0-1%
precision recall f1-score support
0 1.00 0.90 0.95 4873589
1 0.01 0.79 0.01 3872
accuracy 0.90 4877461
macro avg 0.50 0.85 0.48 4877461
weighted avg 1.00 0.90 0.95 4877461
Accuracy: 0.9036908752320111
1-10%
precision recall f1-score support
0 0.88 0.28 0.43 16949103
1 0.38 0.92 0.53 8016772
accuracy 0.49 24965875
macro avg 0.63 0.60 0.48 24965875
weighted avg 0.72 0.49 0.46 24965875
Accuracy: 0.48618227881057646
10-20%
precision recall f1-score support
0 0.41 0.10 0.17 2057494
1 0.74 0.94 0.83 5461156
accuracy 0.71 7518650
macro avg 0.57 0.52 0.50 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7135812945143077
20-40%
precision recall f1-score support
0 0.25 0.09 0.14 744974
1 0.85 0.95 0.90 4060539
accuracy 0.81 4805513
macro avg 0.55 0.52 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8147342437737657
40-80%
precision recall f1-score support
0 0.15 0.10 0.12 235909
1 0.92 0.95 0.93 2483775
accuracy 0.87 2719684
macro avg 0.53 0.52 0.52 2719684
weighted avg 0.85 0.87 0.86 2719684
Accuracy: 0.8740386750813698
80-90%
precision recall f1-score support
0 0.11 0.10 0.10 18577
1 0.94 0.95 0.95 296772
accuracy 0.90 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.90 0.90 315349
Accuracy: 0.8979353034257284
90-100%
precision recall f1-score support
0 0.10 0.10 0.10 13620
1 0.95 0.95 0.95 240209
accuracy 0.90 253829
macro avg 0.52 0.52 0.52 253829
weighted avg 0.90 0.90 0.90 253829
Accuracy: 0.9022964279101284
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.56 0.65 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6792040612313863
precision recall f1-score support
0 0.80 0.56 0.65 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6792040612313863
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.01 0.67 0.03 3872
accuracy 0.96 4877461
macro avg 0.51 0.82 0.51 4877461
weighted avg 1.00 0.96 0.98 4877461
Accuracy: 0.9649407755387486
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.01 0.67 0.03 3872
accuracy 0.96 4877461
macro avg 0.51 0.82 0.51 4877461
weighted avg 1.00 0.96 0.98 4877461
Accuracy: 0.9649407755387486
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5929809790363847
precision recall f1-score support
0 0.90 0.60 0.72 21822692
1 0.42 0.81 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6537724200806505
10-20%
precision recall f1-score support
0 0.85 0.57 0.68 23880186
1 0.52 0.82 0.64 13481800
accuracy 0.66 37361986
macro avg 0.68 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.660068230848328
precision recall f1-score support
0 0.39 0.27 0.32 2057494
1 0.75 0.84 0.79 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6850578228804373
20-40%
precision recall f1-score support
0 0.82 0.56 0.66 24625160
1 0.57 0.83 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6704102844705113
precision recall f1-score support
0 0.23 0.26 0.24 744974
1 0.86 0.84 0.85 4060539
accuracy 0.75 4805513
macro avg 0.54 0.55 0.55 4805513
weighted avg 0.76 0.75 0.76 4805513
Accuracy: 0.7508178627339058
40-80%
precision recall f1-score support
0 0.13 0.26 0.17 235909
1 0.92 0.84 0.88 2483775
accuracy 0.79 2719684
macro avg 0.53 0.55 0.53 2719684
weighted avg 0.85 0.79 0.82 2719684
Accuracy: 0.7891902147455366
80-90%
precision recall f1-score support
0 0.09 0.26 0.13 18577
1 0.95 0.84 0.89 296772
accuracy 0.80 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.80 0.84 315349
Accuracy: 0.8033638920687873
90-100%
precision recall f1-score support
0 0.08 0.26 0.13 13620
1 0.95 0.84 0.89 240209
accuracy 0.81 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.81 0.85 253829
Accuracy: 0.8073624369161916
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.72 0.68 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6958789772018926
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.55 0.06 3872
accuracy 0.99 4877461
macro avg 0.52 0.77 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858184411930716
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.47 0.70 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.65 0.67 24965875
Accuracy: 0.6545496602862908
10-20%
precision recall f1-score support
0 0.37 0.41 0.39 2057494
1 0.77 0.74 0.75 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.65 7518650
Accuracy: 0.6473836393501493
20-40%
precision recall f1-score support
0 0.21 0.39 0.27 744974
1 0.87 0.74 0.80 4060539
accuracy 0.68 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.68 0.72 4805513
Accuracy: 0.6846078660072296
40-80%
precision recall f1-score support
0 0.12 0.38 0.18 235909
1 0.93 0.74 0.82 2483775
accuracy 0.71 2719684
macro avg 0.52 0.56 0.50 2719684
weighted avg 0.86 0.71 0.77 2719684
Accuracy: 0.7055860166107533
80-90%
precision recall f1-score support
0 0.08 0.38 0.13 18577
1 0.95 0.73 0.83 296772
accuracy 0.71 315349
macro avg 0.52 0.56 0.48 315349
weighted avg 0.90 0.71 0.79 315349
Accuracy: 0.7122553107826567
90-100%
precision recall f1-score support
0 0.08 0.39 0.13 13620
1 0.95 0.73 0.83 240209
accuracy 0.72 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.72 0.79 253829
Accuracy: 0.7150758975530771
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.28 0.42 22531902
1 0.50 0.95 0.65 16938696
accuracy 0.57 39470598
macro avg 0.69 0.62 0.54 39470598
weighted avg 0.72 0.57 0.52 39470598
Accuracy: 0.5673319669491707
0-1%
precision recall f1-score support
0 1.00 0.96 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.96 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.96 0.98 1549999
Accuracy: 0.9625902984453538
1-10%
precision recall f1-score support
0 0.98 0.32 0.48 11439888
1 0.13 0.94 0.23 1271288
accuracy 0.38 12711176
macro avg 0.56 0.63 0.36 12711176
weighted avg 0.89 0.38 0.46 12711176
Accuracy: 0.38131381392248836
10-20%
precision recall f1-score support
0 0.77 0.13 0.22 5044441
1 0.45 0.95 0.61 3812372
accuracy 0.48 8856813
macro avg 0.61 0.54 0.41 8856813
weighted avg 0.63 0.48 0.39 8856813
Accuracy: 0.481217792449722
20-40%
precision recall f1-score support
0 0.56 0.10 0.17 2995598
1 0.67 0.96 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.53 0.48 8578813
weighted avg 0.63 0.66 0.57 8578813
Accuracy: 0.6583209122287664
40-80%
precision recall f1-score support
0 0.37 0.10 0.16 1295061
1 0.80 0.96 0.87 5001564
accuracy 0.78 6296625
macro avg 0.59 0.53 0.51 6296625
weighted avg 0.71 0.78 0.73 6296625
Accuracy: 0.7797791674111131
80-90%
precision recall f1-score support
0 0.28 0.10 0.15 117971
1 0.86 0.96 0.91 692761
accuracy 0.83 810732
macro avg 0.57 0.53 0.53 810732
weighted avg 0.78 0.83 0.80 810732
Accuracy: 0.8312216614121559
90-100%
precision recall f1-score support
0 0.25 0.10 0.14 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.56 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.840927915491267
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.41 0.56 22531902
1 0.54 0.90 0.67 16938696
accuracy 0.62 39470598
macro avg 0.69 0.66 0.62 39470598
weighted avg 0.72 0.62 0.61 39470598
Accuracy: 0.6240024536745048
precision recall f1-score support
0 0.85 0.41 0.56 22531902
1 0.54 0.90 0.67 16938696
accuracy 0.62 39470598
macro avg 0.69 0.66 0.62 39470598
weighted avg 0.72 0.62 0.61 39470598
Accuracy: 0.6240024536745048
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 0.99 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 0.99 1.00 1549999
Accuracy: 0.9917967689011412
precision recall f1-score support
0 1.00 0.99 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 0.99 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 0.99 1.00 1549999
Accuracy: 0.9917967689011412
1-10%
precision recall f1-score support
0 0.98 0.55 0.71 12989887
1 0.16 0.88 0.27 1271288
accuracy 0.58 14261175
macro avg 0.57 0.72 0.49 14261175
weighted avg 0.91 0.58 0.67 14261175
Accuracy: 0.5839330209467313
precision recall f1-score support
0 0.97 0.50 0.66 11439888
1 0.16 0.88 0.27 1271288
accuracy 0.53 12711176
macro avg 0.57 0.69 0.47 12711176
weighted avg 0.89 0.53 0.62 12711176
Accuracy: 0.5341981733240103
10-20%
precision recall f1-score support
0 0.94 0.47 0.62 18034328
1 0.32 0.89 0.47 5083660
accuracy 0.56 23117988
macro avg 0.63 0.68 0.55 23117988
weighted avg 0.80 0.56 0.59 23117988
Accuracy: 0.5617400614620961
precision recall f1-score support
0 0.76 0.24 0.37 5044441
1 0.47 0.90 0.62 3812372
accuracy 0.53 8856813
macro avg 0.62 0.57 0.50 8856813
weighted avg 0.64 0.53 0.48 8856813
Accuracy: 0.5260051217068713
20-40%
precision recall f1-score support
0 0.90 0.43 0.58 21029926
1 0.45 0.90 0.60 10666875
accuracy 0.59 31696801
macro avg 0.67 0.67 0.59 31696801
weighted avg 0.74 0.59 0.59 31696801
Accuracy: 0.5887225969586016
precision recall f1-score support
0 0.54 0.20 0.30 2995598
1 0.68 0.91 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.56 0.54 8578813
weighted avg 0.63 0.66 0.61 8578813
Accuracy: 0.6614345131430187
40-80%
precision recall f1-score support
0 0.86 0.42 0.56 22324987
1 0.52 0.90 0.66 15668439
accuracy 0.62 37993426
macro avg 0.69 0.66 0.61 37993426
weighted avg 0.72 0.62 0.60 37993426
Accuracy: 0.6169883705670555
precision recall f1-score support
0 0.35 0.19 0.25 1295061
1 0.81 0.91 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.55 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7592764377742044
80-90%
precision recall f1-score support
0 0.25 0.19 0.22 117971
1 0.87 0.90 0.89 692761
accuracy 0.80 810732
macro avg 0.56 0.55 0.55 810732
weighted avg 0.78 0.80 0.79 810732
Accuracy: 0.8006838264679327
90-100%
precision recall f1-score support
0 0.24 0.19 0.21 88944
1 0.88 0.90 0.89 577496
accuracy 0.81 666440
macro avg 0.56 0.55 0.55 666440
weighted avg 0.79 0.81 0.80 666440
Accuracy: 0.8089370385931217
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.66 0.72 22531902
1 0.63 0.77 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.70 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7054521190684773
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9998161289136316
1-10%
precision recall f1-score support
0 0.96 0.76 0.85 11439888
1 0.25 0.74 0.38 1271288
accuracy 0.76 12711176
macro avg 0.61 0.75 0.61 12711176
weighted avg 0.89 0.76 0.80 12711176
Accuracy: 0.758062511289278
10-20%
precision recall f1-score support
0 0.74 0.51 0.61 5044441
1 0.54 0.77 0.64 3812372
accuracy 0.62 8856813
macro avg 0.64 0.64 0.62 8856813
weighted avg 0.66 0.62 0.62 8856813
Accuracy: 0.6216626680500085
20-40%
precision recall f1-score support
0 0.52 0.46 0.49 2995598
1 0.73 0.77 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.62 8578813
weighted avg 0.65 0.66 0.66 8578813
Accuracy: 0.6626260532780001
40-80%
precision recall f1-score support
0 0.33 0.44 0.37 1295061
1 0.84 0.77 0.80 5001564
accuracy 0.70 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.74 0.70 0.71 6296625
Accuracy: 0.700276100291823
80-90%
precision recall f1-score support
0 0.24 0.43 0.31 117971
1 0.89 0.76 0.82 692761
accuracy 0.72 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.79 0.72 0.75 810732
Accuracy: 0.7156125575405929
90-100%
precision recall f1-score support
0 0.22 0.43 0.29 88944
1 0.90 0.76 0.82 577496
accuracy 0.72 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.72 0.75 666440
Accuracy: 0.7187383710461557
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.73 0.61 0.66 28055468
1 0.58 0.70 0.64 21729815
accuracy 0.65 49785283
macro avg 0.65 0.66 0.65 49785283
weighted avg 0.66 0.65 0.65 49785283
Accuracy: 0.6490585581285137
0-1%
precision recall f1-score support
0 0.75 0.61 0.67 27764588
1 0.51 0.66 0.58 17098553
accuracy 0.63 44863141
macro avg 0.63 0.64 0.62 44863141
weighted avg 0.66 0.63 0.64 44863141
Accuracy: 0.6299471764582868
1-10%
precision recall f1-score support
0 0.08 0.20 0.12 287564
1 0.94 0.85 0.89 4164787
accuracy 0.81 4452351
macro avg 0.51 0.52 0.50 4452351
weighted avg 0.88 0.81 0.84 4452351
Accuracy: 0.8060067591256844
10-20%
precision recall f1-score support
0 0.01 0.01 0.01 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9816357840743489
20-40%
precision recall f1-score support
0 0.01 0.00 0.01 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9912975226134866
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.995489503539593
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9964798266991606
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 0.99 5704
Accuracy: 0.9961430575035063
Treshold: 0.5
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.61 0.69 26119367
1 0.63 0.81 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.72 0.70 0.70 47734596
Accuracy: 0.7027313690892032
0-1%
precision recall f1-score support
0 0.98 0.88 0.93 12053010
1 0.16 0.57 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.72 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8637601082233386
1-10%
precision recall f1-score support
0 0.64 0.40 0.49 13368467
1 0.59 0.80 0.68 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.58 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.6031365151722704
10-20%
precision recall f1-score support
0 0.17 0.19 0.18 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7774925918338864
20-40%
precision recall f1-score support
0 0.10 0.18 0.13 147488
1 0.93 0.87 0.90 1970425
accuracy 0.83 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.83 0.85 2117913
Accuracy: 0.8251254891017714
40-80%
precision recall f1-score support
0 0.05 0.18 0.08 41616
1 0.96 0.88 0.92 1064279
accuracy 0.85 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.85 0.89 1105895
Accuracy: 0.8510762775851234
80-90%
precision recall f1-score support
0 0.04 0.19 0.06 3093
1 0.98 0.88 0.92 120943
accuracy 0.86 124036
macro avg 0.51 0.53 0.49 124036
weighted avg 0.95 0.86 0.90 124036
Accuracy: 0.8597826437485891
90-100%
precision recall f1-score support
0 0.04 0.19 0.06 2328
1 0.98 0.88 0.93 97067
accuracy 0.86 99395
macro avg 0.51 0.53 0.49 99395
weighted avg 0.96 0.86 0.91 99395
Accuracy: 0.8624679309824438
Treshold: 0.5
All
precision recall f1-score support
0 0.63 0.86 0.73 26119367
1 0.70 0.39 0.50 21615229
accuracy 0.65 47734596
macro avg 0.66 0.63 0.61 47734596
weighted avg 0.66 0.65 0.63 47734596
Accuracy: 0.6479074003265891
precision recall f1-score support
0 0.63 0.86 0.73 26119367
1 0.70 0.39 0.50 21615229
accuracy 0.65 47734596
macro avg 0.66 0.63 0.61 47734596
weighted avg 0.66 0.65 0.63 47734596
Accuracy: 0.6479074003265891
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.29 0.27 0.28 508421
accuracy 0.94 12561431
macro avg 0.63 0.62 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.9437496412630058
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.29 0.27 0.28 508421
accuracy 0.94 12561431
macro avg 0.63 0.62 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.9437496412630058
1-10%
precision recall f1-score support
0 0.71 0.87 0.78 25421477
1 0.63 0.38 0.48 14975241
accuracy 0.69 40396718
macro avg 0.67 0.63 0.63 40396718
weighted avg 0.68 0.69 0.67 40396718
Accuracy: 0.6880548315831004
precision recall f1-score support
0 0.54 0.77 0.63 13368467
1 0.65 0.39 0.49 14466820
accuracy 0.57 27835287
macro avg 0.59 0.58 0.56 27835287
weighted avg 0.60 0.57 0.56 27835287
Accuracy: 0.5726655881076419
10-20%
precision recall f1-score support
0 0.67 0.86 0.75 25924842
1 0.67 0.39 0.49 18362515
accuracy 0.67 44287357
macro avg 0.67 0.63 0.62 44287357
weighted avg 0.67 0.67 0.64 44287357
Accuracy: 0.6660603160400834
precision recall f1-score support
0 0.14 0.64 0.23 503365
1 0.88 0.41 0.56 3387274
accuracy 0.44 3890639
macro avg 0.51 0.52 0.39 3890639
weighted avg 0.79 0.44 0.52 3890639
Accuracy: 0.437690055541005
20-40%
precision recall f1-score support
0 0.64 0.86 0.74 26072330
1 0.69 0.39 0.50 20332940
accuracy 0.65 46405270
macro avg 0.67 0.63 0.62 46405270
weighted avg 0.66 0.65 0.63 46405270
Accuracy: 0.654789165109911
precision recall f1-score support
0 0.07 0.64 0.13 147488
1 0.94 0.40 0.56 1970425
accuracy 0.42 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.42 0.53 2117913
Accuracy: 0.419099840267282
40-80%
precision recall f1-score support
0 0.63 0.86 0.73 26113946
1 0.70 0.39 0.50 21397219
accuracy 0.65 47511165
macro avg 0.66 0.63 0.62 47511165
weighted avg 0.66 0.65 0.63 47511165
Accuracy: 0.6490584055347832
precision recall f1-score support
0 0.04 0.65 0.08 41616
1 0.97 0.40 0.57 1064279
accuracy 0.41 1105895
macro avg 0.50 0.52 0.32 1105895
weighted avg 0.93 0.41 0.55 1105895
Accuracy: 0.40858580606657957
80-90%
precision recall f1-score support
0 0.03 0.66 0.05 3093
1 0.98 0.40 0.57 120943
accuracy 0.40 124036
macro avg 0.50 0.53 0.31 124036
weighted avg 0.95 0.40 0.55 124036
Accuracy: 0.4045841529878422
90-100%
precision recall f1-score support
0 0.02 0.63 0.05 2328
1 0.98 0.40 0.56 97067
accuracy 0.40 99395
macro avg 0.50 0.51 0.31 99395
weighted avg 0.96 0.40 0.55 99395
Accuracy: 0.4013682780823985
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.72 0.00 0.01 21615229
accuracy 0.55 47734596
macro avg 0.63 0.50 0.36 47734596
weighted avg 0.63 0.55 0.39 47734596
Accuracy: 0.5481426929851884
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.52 0.01 0.01 508421
accuracy 0.96 12561431
macro avg 0.74 0.50 0.50 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595440201040789
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.71 0.00 0.01 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4816420610285067
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.90 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.52 0.50 0.12 3890639
weighted avg 0.80 0.13 0.03 3890639
Accuracy: 0.13073610787328252
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.95 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.51 0.50 0.07 2117913
weighted avg 0.89 0.07 0.01 2117913
Accuracy: 0.07046701162890072
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.98 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.51 0.50 0.04 1105895
weighted avg 0.94 0.04 0.00 1105895
Accuracy: 0.038072330555794176
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.93 0.00 0.00 120943
accuracy 0.03 124036
macro avg 0.48 0.50 0.02 124036
weighted avg 0.91 0.03 0.00 124036
Accuracy: 0.025250733657970266
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 1.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.51 0.50 0.02 99395
weighted avg 0.98 0.02 0.00 99395
Accuracy: 0.023673222999144827
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.57 0.66 24893266
1 0.61 0.82 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.681543073806546
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.66 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9674047624368498
1-10%
precision recall f1-score support
0 0.84 0.50 0.63 16949103
1 0.43 0.80 0.56 8016772
accuracy 0.60 24965875
macro avg 0.64 0.65 0.60 24965875
weighted avg 0.71 0.60 0.61 24965875
Accuracy: 0.5991894135494951
10-20%
precision recall f1-score support
0 0.39 0.29 0.33 2057494
1 0.76 0.83 0.79 5461156
accuracy 0.68 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.68 0.67 7518650
Accuracy: 0.6828050248382356
20-40%
precision recall f1-score support
0 0.23 0.27 0.25 744974
1 0.86 0.83 0.85 4060539
accuracy 0.75 4805513
macro avg 0.55 0.55 0.55 4805513
weighted avg 0.76 0.75 0.75 4805513
Accuracy: 0.7461507231381956
40-80%
precision recall f1-score support
0 0.13 0.27 0.18 235909
1 0.92 0.83 0.87 2483775
accuracy 0.78 2719684
macro avg 0.53 0.55 0.53 2719684
weighted avg 0.85 0.78 0.81 2719684
Accuracy: 0.7828302846948395
80-90%
precision recall f1-score support
0 0.09 0.27 0.14 18577
1 0.95 0.83 0.88 296772
accuracy 0.80 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.80 0.84 315349
Accuracy: 0.796406521029082
90-100%
precision recall f1-score support
0 0.08 0.27 0.13 13620
1 0.95 0.83 0.89 240209
accuracy 0.80 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.80 0.85 253829
Accuracy: 0.8001252811932442
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.45 0.59 22531902
1 0.55 0.89 0.68 16938696
accuracy 0.64 39470598
macro avg 0.69 0.67 0.63 39470598
weighted avg 0.72 0.64 0.63 39470598
Accuracy: 0.6385302548494451
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9950470935787701
1-10%
precision recall f1-score support
0 0.97 0.54 0.70 11439888
1 0.17 0.86 0.29 1271288
accuracy 0.57 12711176
macro avg 0.57 0.70 0.49 12711176
weighted avg 0.89 0.57 0.66 12711176
Accuracy: 0.5738562663281509
10-20%
precision recall f1-score support
0 0.76 0.28 0.41 5044441
1 0.48 0.88 0.62 3812372
accuracy 0.54 8856813
macro avg 0.62 0.58 0.52 8856813
weighted avg 0.64 0.54 0.50 8856813
Accuracy: 0.5395612394661601
20-40%
precision recall f1-score support
0 0.54 0.24 0.33 2995598
1 0.68 0.89 0.77 5583215
accuracy 0.66 8578813
macro avg 0.61 0.56 0.55 8578813
weighted avg 0.63 0.66 0.62 8578813
Accuracy: 0.6619618588259238
40-80%
precision recall f1-score support
0 0.34 0.22 0.27 1295061
1 0.82 0.89 0.85 5001564
accuracy 0.75 6296625
macro avg 0.58 0.56 0.56 6296625
weighted avg 0.72 0.75 0.73 6296625
Accuracy: 0.7521746967621543
80-90%
precision recall f1-score support
0 0.25 0.22 0.24 117971
1 0.87 0.89 0.88 692761
accuracy 0.79 810732
macro avg 0.56 0.55 0.56 810732
weighted avg 0.78 0.79 0.78 810732
Accuracy: 0.7904227290892675
90-100%
precision recall f1-score support
0 0.23 0.22 0.23 88944
1 0.88 0.89 0.88 577496
accuracy 0.80 666440
macro avg 0.56 0.55 0.56 666440
weighted avg 0.79 0.80 0.80 666440
Accuracy: 0.7980283296320749
Treshold: 0.5
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.42 0.57 28055468
1 0.55 0.91 0.69 21729815
accuracy 0.64 49785283
macro avg 0.71 0.67 0.63 49785283
weighted avg 0.73 0.64 0.62 49785283
Accuracy: 0.637671940119332
0-1%
precision recall f1-score support
0 0.87 0.43 0.57 27764588
1 0.49 0.89 0.63 17098553
accuracy 0.61 44863141
macro avg 0.68 0.66 0.60 44863141
weighted avg 0.72 0.61 0.60 44863141
Accuracy: 0.6054168833163064
1-10%
precision recall f1-score support
0 0.09 0.02 0.03 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.50 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.925197945984043
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905410445609084
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949705472197032
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.58 0.86 0.70 28055468
1 0.54 0.21 0.30 21729815
accuracy 0.58 49785283
macro avg 0.56 0.53 0.50 49785283
weighted avg 0.56 0.58 0.52 49785283
Accuracy: 0.5765067158501439
precision recall f1-score support
0 0.58 0.86 0.70 28055468
1 0.54 0.21 0.30 21729815
accuracy 0.58 49785283
macro avg 0.56 0.53 0.50 49785283
weighted avg 0.56 0.58 0.52 49785283
Accuracy: 0.5765067158501439
0-1%
precision recall f1-score support
0 0.65 0.86 0.74 27764588
1 0.53 0.25 0.34 17098553
accuracy 0.63 44863141
macro avg 0.59 0.55 0.54 44863141
weighted avg 0.60 0.63 0.59 44863141
Accuracy: 0.628007232039326
precision recall f1-score support
0 0.65 0.86 0.74 27764588
1 0.53 0.25 0.34 17098553
accuracy 0.63 44863141
macro avg 0.59 0.55 0.54 44863141
weighted avg 0.60 0.63 0.59 44863141
Accuracy: 0.628007232039326
1-10%
precision recall f1-score support
0 0.06 0.94 0.12 287564
1 0.93 0.06 0.11 4164787
accuracy 0.12 4452351
macro avg 0.50 0.50 0.12 4452351
weighted avg 0.88 0.12 0.11 4452351
Accuracy: 0.11696472268246597
precision recall f1-score support
0 0.59 0.86 0.70 28052152
1 0.54 0.21 0.30 21263340
accuracy 0.58 49315492
macro avg 0.56 0.54 0.50 49315492
weighted avg 0.57 0.58 0.53 49315492
Accuracy: 0.5818687766513614
10-20%
precision recall f1-score support
0 0.59 0.86 0.70 28054607
1 0.54 0.21 0.30 21520956
accuracy 0.58 49575563
macro avg 0.56 0.54 0.50 49575563
weighted avg 0.57 0.58 0.53 49575563
Accuracy: 0.5789129414425409
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.99 0.01 0.02 257616
accuracy 0.02 260071
macro avg 0.50 0.50 0.02 260071
weighted avg 0.99 0.02 0.02 260071
Accuracy: 0.01841804737936948
20-40%
precision recall f1-score support
0 0.59 0.86 0.70 28055266
1 0.54 0.21 0.30 21651524
accuracy 0.58 49706790
macro avg 0.56 0.54 0.50 49706790
weighted avg 0.56 0.58 0.52 49706790
Accuracy: 0.577409705997913
precision recall f1-score support
0 0.01 0.99 0.01 659
1 0.99 0.00 0.01 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 0.99 0.01 0.01 131227
Accuracy: 0.009510237984561104
40-80%
precision recall f1-score support
0 0.58 0.86 0.70 28055435
1 0.54 0.21 0.30 21716758
accuracy 0.58 49772193
macro avg 0.56 0.53 0.50 49772193
weighted avg 0.56 0.58 0.52 49772193
Accuracy: 0.576657130619099
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.99 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 0.99 0.00 0.00 65403
Accuracy: 0.004693974282525266
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.50 0.50 0.00 7386
weighted avg 1.00 0.00 0.00 7386
Accuracy: 0.003926347143243975
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005434782608695652
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.50 0.64 26119367
1 0.61 0.92 0.73 21615229
accuracy 0.69 47734596
macro avg 0.74 0.71 0.69 47734596
weighted avg 0.76 0.69 0.68 47734596
Accuracy: 0.6921751888295022
0-1%
precision recall f1-score support
0 0.98 0.82 0.89 12053010
1 0.13 0.67 0.22 508421
accuracy 0.81 12561431
macro avg 0.56 0.74 0.56 12561431
weighted avg 0.95 0.81 0.86 12561431
Accuracy: 0.809702652508301
1-10%
precision recall f1-score support
0 0.70 0.25 0.36 13368467
1 0.56 0.90 0.69 14466820
accuracy 0.59 27835287
macro avg 0.63 0.57 0.53 27835287
weighted avg 0.63 0.59 0.54 27835287
Accuracy: 0.5865506613960905
10-20%
precision recall f1-score support
0 0.18 0.04 0.06 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.51 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8534222784483474
20-40%
precision recall f1-score support
0 0.09 0.02 0.03 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9195750722527318
40-80%
precision recall f1-score support
0 0.05 0.01 0.02 41616
1 0.96 0.99 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9564443278973139
80-90%
precision recall f1-score support
0 0.05 0.01 0.02 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9711777225966655
90-100%
precision recall f1-score support
0 0.05 0.01 0.01 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.51 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9733588208662407
Treshold: 0.5
All
precision recall f1-score support
0 0.71 0.74 0.72 26119367
1 0.67 0.64 0.66 21615229
accuracy 0.69 47734596
macro avg 0.69 0.69 0.69 47734596
weighted avg 0.69 0.69 0.69 47734596
Accuracy: 0.6935438397760819
precision recall f1-score support
0 0.71 0.74 0.72 26119367
1 0.67 0.64 0.66 21615229
accuracy 0.69 47734596
macro avg 0.69 0.69 0.69 47734596
weighted avg 0.69 0.69 0.69 47734596
Accuracy: 0.6935438397760819
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.44 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.68 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9118375923889563
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.44 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.68 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9118375923889563
1-10%
precision recall f1-score support
0 0.77 0.74 0.76 25421477
1 0.59 0.62 0.61 14975241
accuracy 0.70 40396718
macro avg 0.68 0.68 0.68 40396718
weighted avg 0.70 0.70 0.70 40396718
Accuracy: 0.699548463318233
precision recall f1-score support
0 0.59 0.58 0.58 13368467
1 0.62 0.63 0.62 14466820
accuracy 0.60 27835287
macro avg 0.60 0.60 0.60 27835287
weighted avg 0.60 0.60 0.60 27835287
Accuracy: 0.6037472148212447
10-20%
precision recall f1-score support
0 0.74 0.74 0.74 25924842
1 0.63 0.63 0.63 18362515
accuracy 0.70 44287357
macro avg 0.69 0.69 0.69 44287357
weighted avg 0.70 0.70 0.70 44287357
Accuracy: 0.6950480923935018
precision recall f1-score support
0 0.15 0.38 0.22 503365
1 0.88 0.69 0.77 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6483204943969358
20-40%
precision recall f1-score support
0 0.72 0.74 0.73 26072330
1 0.65 0.64 0.65 20332940
accuracy 0.69 46405270
macro avg 0.69 0.69 0.69 46405270
weighted avg 0.69 0.69 0.69 46405270
Accuracy: 0.6938819664232101
precision recall f1-score support
0 0.08 0.37 0.14 147488
1 0.94 0.69 0.80 1970425
accuracy 0.67 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.67 0.75 2117913
Accuracy: 0.6694972834106028
40-80%
precision recall f1-score support
0 0.72 0.74 0.73 26113946
1 0.67 0.64 0.65 21397219
accuracy 0.69 47511165
macro avg 0.69 0.69 0.69 47511165
weighted avg 0.69 0.69 0.69 47511165
Accuracy: 0.6935845711213354
precision recall f1-score support
0 0.05 0.37 0.08 41616
1 0.97 0.69 0.81 1064279
accuracy 0.68 1105895
macro avg 0.51 0.53 0.44 1105895
weighted avg 0.93 0.68 0.78 1105895
Accuracy: 0.6811053490611676
80-90%
precision recall f1-score support
0 0.03 0.38 0.06 3093
1 0.98 0.69 0.81 120943
accuracy 0.68 124036
macro avg 0.50 0.54 0.43 124036
weighted avg 0.95 0.68 0.79 124036
Accuracy: 0.6846399432422845
90-100%
precision recall f1-score support
0 0.03 0.36 0.05 2328
1 0.98 0.69 0.81 97067
accuracy 0.69 99395
macro avg 0.50 0.53 0.43 99395
weighted avg 0.96 0.69 0.79 99395
Accuracy: 0.6851853714975602
Treshold: 0.6
All
precision recall f1-score support
0 0.63 0.86 0.73 26119367
1 0.70 0.39 0.50 21615229
accuracy 0.65 47734596
macro avg 0.67 0.63 0.62 47734596
weighted avg 0.66 0.65 0.63 47734596
Accuracy: 0.6482876905462864
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.29 0.27 0.28 508421
accuracy 0.94 12561431
macro avg 0.63 0.62 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.9436225060663869
1-10%
precision recall f1-score support
0 0.54 0.77 0.63 13368467
1 0.65 0.39 0.49 14466820
accuracy 0.57 27835287
macro avg 0.59 0.58 0.56 27835287
weighted avg 0.60 0.57 0.56 27835287
Accuracy: 0.5729525619764582
10-20%
precision recall f1-score support
0 0.14 0.64 0.23 503365
1 0.88 0.41 0.56 3387274
accuracy 0.44 3890639
macro avg 0.51 0.52 0.39 3890639
weighted avg 0.79 0.44 0.52 3890639
Accuracy: 0.4391196407582405
20-40%
precision recall f1-score support
0 0.07 0.64 0.13 147488
1 0.94 0.40 0.57 1970425
accuracy 0.42 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.42 0.54 2117913
Accuracy: 0.42082984522971434
40-80%
precision recall f1-score support
0 0.04 0.64 0.08 41616
1 0.97 0.40 0.57 1064279
accuracy 0.41 1105895
macro avg 0.50 0.52 0.32 1105895
weighted avg 0.93 0.41 0.55 1105895
Accuracy: 0.4104621143960322
80-90%
precision recall f1-score support
0 0.03 0.66 0.05 3093
1 0.98 0.40 0.57 120943
accuracy 0.41 124036
macro avg 0.50 0.53 0.31 124036
weighted avg 0.95 0.41 0.56 124036
Accuracy: 0.40684156212712436
90-100%
precision recall f1-score support
0 0.02 0.63 0.05 2328
1 0.98 0.40 0.57 97067
accuracy 0.40 99395
macro avg 0.50 0.51 0.31 99395
weighted avg 0.96 0.40 0.55 99395
Accuracy: 0.40318929523617886
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.47 0.60 24893266
1 0.58 0.88 0.70 20563095
accuracy 0.66 45456361
macro avg 0.71 0.68 0.65 45456361
weighted avg 0.72 0.66 0.65 45456361
Accuracy: 0.6589380526962992
0-1%
precision recall f1-score support
0 1.00 0.94 0.97 4873589
1 0.01 0.73 0.02 3872
accuracy 0.94 4877461
macro avg 0.50 0.83 0.49 4877461
weighted avg 1.00 0.94 0.97 4877461
Accuracy: 0.9415833360840814
1-10%
precision recall f1-score support
0 0.86 0.39 0.54 16949103
1 0.40 0.87 0.55 8016772
accuracy 0.54 24965875
macro avg 0.63 0.63 0.54 24965875
weighted avg 0.71 0.54 0.54 24965875
Accuracy: 0.5440402148933294
10-20%
precision recall f1-score support
0 0.40 0.19 0.25 2057494
1 0.74 0.89 0.81 5461156
accuracy 0.70 7518650
macro avg 0.57 0.54 0.53 7518650
weighted avg 0.65 0.70 0.66 7518650
Accuracy: 0.6999272475776901
20-40%
precision recall f1-score support
0 0.23 0.17 0.20 744974
1 0.86 0.90 0.87 4060539
accuracy 0.78 4805513
macro avg 0.54 0.53 0.54 4805513
weighted avg 0.76 0.78 0.77 4805513
Accuracy: 0.7835698290692378
40-80%
precision recall f1-score support
0 0.14 0.17 0.15 235909
1 0.92 0.90 0.91 2483775
accuracy 0.83 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.83 0.84 2719684
Accuracy: 0.8325397362340625
80-90%
precision recall f1-score support
0 0.09 0.18 0.12 18577
1 0.95 0.89 0.92 296772
accuracy 0.85 315349
macro avg 0.52 0.54 0.52 315349
weighted avg 0.90 0.85 0.87 315349
Accuracy: 0.8514661533729296
90-100%
precision recall f1-score support
0 0.09 0.18 0.12 13620
1 0.95 0.89 0.92 240209
accuracy 0.86 253829
macro avg 0.52 0.54 0.52 253829
weighted avg 0.90 0.86 0.88 253829
Accuracy: 0.8558241966048009
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.70 0.72 24893266
1 0.65 0.70 0.67 20563095
accuracy 0.70 45456361
macro avg 0.69 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6964883968604526
precision recall f1-score support
0 0.74 0.70 0.72 24893266
1 0.65 0.70 0.67 20563095
accuracy 0.70 45456361
macro avg 0.69 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6964883968604526
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9887078543529103
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9887078543529103
1-10%
precision recall f1-score support
0 0.81 0.66 0.73 16949103
1 0.49 0.67 0.56 8016772
accuracy 0.67 24965875
macro avg 0.65 0.67 0.65 24965875
weighted avg 0.71 0.67 0.68 24965875
Accuracy: 0.6656533368047385
precision recall f1-score support
0 0.86 0.73 0.79 21822692
1 0.48 0.67 0.56 8020644
accuracy 0.72 29843336
macro avg 0.67 0.70 0.68 29843336
weighted avg 0.76 0.72 0.73 29843336
Accuracy: 0.7184519183780258
10-20%
precision recall f1-score support
0 0.80 0.71 0.75 23880186
1 0.57 0.69 0.62 13481800
accuracy 0.70 37361986
macro avg 0.69 0.70 0.69 37361986
weighted avg 0.72 0.70 0.71 37361986
Accuracy: 0.7016109636141933
precision recall f1-score support
0 0.36 0.43 0.39 2057494
1 0.77 0.71 0.74 5461156
accuracy 0.63 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.63 0.64 7518650
Accuracy: 0.6347651506586954
20-40%
precision recall f1-score support
0 0.76 0.70 0.73 24625160
1 0.62 0.69 0.66 17542339
accuracy 0.70 42167499
macro avg 0.69 0.70 0.69 42167499
weighted avg 0.70 0.70 0.70 42167499
Accuracy: 0.6974811809445943
precision recall f1-score support
0 0.21 0.41 0.28 744974
1 0.87 0.71 0.78 4060539
accuracy 0.67 4805513
macro avg 0.54 0.56 0.53 4805513
weighted avg 0.77 0.67 0.70 4805513
Accuracy: 0.6653728748626837
40-80%
precision recall f1-score support
0 0.12 0.41 0.18 235909
1 0.93 0.71 0.80 2483775
accuracy 0.68 2719684
macro avg 0.52 0.56 0.49 2719684
weighted avg 0.86 0.68 0.75 2719684
Accuracy: 0.6826465868828878
precision recall f1-score support
0 0.74 0.70 0.72 24861069
1 0.65 0.70 0.67 20026114
accuracy 0.70 44887183
macro avg 0.69 0.70 0.69 44887183
weighted avg 0.70 0.70 0.70 44887183
Accuracy: 0.6965823629431145
80-90%
precision recall f1-score support
0 0.08 0.41 0.13 18577
1 0.95 0.71 0.81 296772
accuracy 0.69 315349
macro avg 0.51 0.56 0.47 315349
weighted avg 0.90 0.69 0.77 315349
Accuracy: 0.6880281846462174
90-100%
precision recall f1-score support
0 0.07 0.41 0.12 13620
1 0.95 0.71 0.81 240209
accuracy 0.69 253829
macro avg 0.51 0.56 0.47 253829
weighted avg 0.91 0.69 0.78 253829
Accuracy: 0.690382107639395
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.36 0.51 22531902
1 0.52 0.92 0.67 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.72 0.60 0.58 39470598
Accuracy: 0.6025999910110306
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 1549999
1 0.00 0.00 0.00 0
accuracy 0.98 1549999
macro avg 0.50 0.49 0.50 1549999
weighted avg 1.00 0.98 0.99 1549999
Accuracy: 0.9845186996894837
1-10%
precision recall f1-score support
0 0.98 0.43 0.59 11439888
1 0.15 0.91 0.26 1271288
accuracy 0.48 12711176
macro avg 0.56 0.67 0.43 12711176
weighted avg 0.89 0.48 0.56 12711176
Accuracy: 0.47569980936460954
10-20%
precision recall f1-score support
0 0.77 0.20 0.31 5044441
1 0.46 0.92 0.62 3812372
accuracy 0.51 8856813
macro avg 0.61 0.56 0.46 8856813
weighted avg 0.64 0.51 0.44 8856813
Accuracy: 0.5078191218443926
20-40%
precision recall f1-score support
0 0.55 0.16 0.25 2995598
1 0.67 0.93 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6606852253336213
40-80%
precision recall f1-score support
0 0.35 0.15 0.21 1295061
1 0.81 0.93 0.86 5001564
accuracy 0.77 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.77 0.73 6296625
Accuracy: 0.7683671808310008
80-90%
precision recall f1-score support
0 0.26 0.15 0.19 117971
1 0.87 0.93 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.54 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.814206174173463
90-100%
precision recall f1-score support
0 0.24 0.15 0.19 88944
1 0.88 0.93 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.54 666440
weighted avg 0.79 0.82 0.81 666440
Accuracy: 0.8230268291219014
Treshold: 0.5
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.20 0.32 28055468
1 0.48 0.96 0.64 21729815
accuracy 0.53 49785283
macro avg 0.67 0.58 0.48 49785283
weighted avg 0.70 0.53 0.46 49785283
Accuracy: 0.529126027063058
0-1%
precision recall f1-score support
0 0.89 0.20 0.32 27764588
1 0.42 0.96 0.59 17098553
accuracy 0.49 44863141
macro avg 0.66 0.58 0.46 44863141
weighted avg 0.71 0.49 0.42 44863141
Accuracy: 0.48753207003495364
1-10%
precision recall f1-score support
0 0.08 0.05 0.06 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.50 0.50 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9032551566576849
10-20%
precision recall f1-score support
0 0.02 0.07 0.03 2455
1 0.99 0.96 0.98 257616
accuracy 0.95 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.95 0.97 260071
Accuracy: 0.953128184226615
20-40%
precision recall f1-score support
0 0.01 0.08 0.02 659
1 1.00 0.96 0.98 130568
accuracy 0.96 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.96 0.97 131227
Accuracy: 0.9576687724325025
40-80%
precision recall f1-score support
0 0.01 0.14 0.02 169
1 1.00 0.96 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.55 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9591456049416693
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9611427024099648
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.51 5704
weighted avg 0.99 0.96 0.98 5704
Accuracy: 0.960203366058906
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.34 0.48 28055468
1 0.51 0.90 0.65 21729815
accuracy 0.58 49785283
macro avg 0.66 0.62 0.56 49785283
weighted avg 0.68 0.58 0.55 49785283
Accuracy: 0.5817977573814334
precision recall f1-score support
0 0.81 0.34 0.48 28055468
1 0.51 0.90 0.65 21729815
accuracy 0.58 49785283
macro avg 0.66 0.62 0.56 49785283
weighted avg 0.68 0.58 0.55 49785283
Accuracy: 0.5817977573814334
0-1%
precision recall f1-score support
0 0.84 0.34 0.48 27764588
1 0.46 0.90 0.60 17098553
accuracy 0.55 44863141
macro avg 0.65 0.62 0.54 44863141
weighted avg 0.69 0.55 0.53 44863141
Accuracy: 0.5518211263897015
precision recall f1-score support
0 0.84 0.34 0.48 27764588
1 0.46 0.90 0.60 17098553
accuracy 0.55 44863141
macro avg 0.65 0.62 0.54 44863141
weighted avg 0.69 0.55 0.53 44863141
Accuracy: 0.5518211263897015
1-10%
precision recall f1-score support
0 0.08 0.12 0.09 287564
1 0.94 0.90 0.92 4164787
accuracy 0.85 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.85 0.87 4452351
Accuracy: 0.8509160665904373
precision recall f1-score support
0 0.81 0.34 0.48 28052152
1 0.51 0.90 0.65 21263340
accuracy 0.58 49315492
macro avg 0.66 0.62 0.56 49315492
weighted avg 0.68 0.58 0.55 49315492
Accuracy: 0.5788243175187221
10-20%
precision recall f1-score support
0 0.81 0.34 0.48 28054607
1 0.51 0.90 0.65 21520956
accuracy 0.58 49575563
macro avg 0.66 0.62 0.56 49575563
weighted avg 0.68 0.58 0.55 49575563
Accuracy: 0.5804661663650699
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.90 0.94 257616
accuracy 0.89 260071
macro avg 0.50 0.51 0.48 260071
weighted avg 0.98 0.89 0.93 260071
Accuracy: 0.8917987780260006
20-40%
precision recall f1-score support
0 0.81 0.34 0.48 28055266
1 0.51 0.90 0.65 21651524
accuracy 0.58 49706790
macro avg 0.66 0.62 0.56 49706790
weighted avg 0.68 0.58 0.55 49706790
Accuracy: 0.5813016692488089
precision recall f1-score support
0 0.01 0.16 0.02 659
1 1.00 0.90 0.95 130568
accuracy 0.90 131227
macro avg 0.50 0.53 0.48 131227
weighted avg 0.99 0.90 0.94 131227
Accuracy: 0.8969419403019195
40-80%
precision recall f1-score support
0 0.81 0.34 0.48 28055435
1 0.51 0.90 0.65 21716758
accuracy 0.58 49772193
macro avg 0.66 0.62 0.56 49772193
weighted avg 0.68 0.58 0.55 49772193
Accuracy: 0.5817143319363083
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.90 0.94 65234
accuracy 0.90 65403
macro avg 0.50 0.54 0.48 65403
weighted avg 1.00 0.90 0.94 65403
Accuracy: 0.8953411923000474
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.90 0.94 7371
accuracy 0.90 7386
macro avg 0.50 0.52 0.47 7386
weighted avg 1.00 0.90 0.94 7386
Accuracy: 0.8952071486596264
90-100%
precision recall f1-score support
0 0.01 0.28 0.02 18
1 1.00 0.91 0.95 5686
accuracy 0.90 5704
macro avg 0.50 0.59 0.48 5704
weighted avg 0.99 0.90 0.95 5704
Accuracy: 0.9039270687237027
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.04 0.07 26119367
1 0.46 1.00 0.63 21615229
accuracy 0.47 47734596
macro avg 0.69 0.52 0.35 47734596
weighted avg 0.71 0.47 0.32 47734596
Accuracy: 0.4712758436250304
0-1%
precision recall f1-score support
0 1.00 0.07 0.13 12053010
1 0.04 1.00 0.08 508421
accuracy 0.11 12561431
macro avg 0.52 0.53 0.11 12561431
weighted avg 0.96 0.11 0.13 12561431
Accuracy: 0.10621369492058667
1-10%
precision recall f1-score support
0 0.69 0.01 0.02 13368467
1 0.52 1.00 0.68 14466820
accuracy 0.52 27835287
macro avg 0.61 0.50 0.35 27835287
weighted avg 0.60 0.52 0.37 27835287
Accuracy: 0.5224117143106878
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8683434777680479
20-40%
precision recall f1-score support
0 0.20 0.01 0.03 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.56 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9274205314382602
40-80%
precision recall f1-score support
0 0.16 0.02 0.04 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.56 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9590566916388988
80-90%
precision recall f1-score support
0 0.16 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.57 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9715808313715373
90-100%
precision recall f1-score support
0 0.16 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.57 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9734091252075054
Treshold: 0.5
All
precision recall f1-score support
0 0.89 0.08 0.14 26119367
1 0.47 0.99 0.64 21615229
accuracy 0.49 47734596
macro avg 0.68 0.53 0.39 47734596
weighted avg 0.70 0.49 0.37 47734596
Accuracy: 0.49043582562215465
precision recall f1-score support
0 0.89 0.08 0.14 26119367
1 0.47 0.99 0.64 21615229
accuracy 0.49 47734596
macro avg 0.68 0.53 0.39 47734596
weighted avg 0.70 0.49 0.37 47734596
Accuracy: 0.49043582562215465
0-1%
precision recall f1-score support
0 1.00 0.14 0.25 12053010
1 0.05 0.99 0.09 508421
accuracy 0.17 12561431
macro avg 0.52 0.56 0.17 12561431
weighted avg 0.96 0.17 0.24 12561431
Accuracy: 0.1745133973987518
precision recall f1-score support
0 1.00 0.14 0.25 12053010
1 0.05 0.99 0.09 508421
accuracy 0.17 12561431
macro avg 0.52 0.56 0.17 12561431
weighted avg 0.96 0.17 0.24 12561431
Accuracy: 0.1745133973987518
1-10%
precision recall f1-score support
0 0.92 0.08 0.15 25421477
1 0.39 0.99 0.56 14975241
accuracy 0.42 40396718
macro avg 0.65 0.53 0.35 40396718
weighted avg 0.72 0.42 0.30 40396718
Accuracy: 0.4166934551465295
precision recall f1-score support
0 0.67 0.03 0.05 13368467
1 0.52 0.99 0.68 14466820
accuracy 0.53 27835287
macro avg 0.60 0.51 0.37 27835287
weighted avg 0.59 0.53 0.38 27835287
Accuracy: 0.5259837989096359
10-20%
precision recall f1-score support
0 0.90 0.08 0.15 25924842
1 0.43 0.99 0.60 18362515
accuracy 0.46 44287357
macro avg 0.67 0.53 0.37 44287357
weighted avg 0.71 0.46 0.33 44287357
Accuracy: 0.4559228494940441
precision recall f1-score support
0 0.21 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.54 0.50 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8632438013395743
20-40%
precision recall f1-score support
0 0.90 0.08 0.14 26072330
1 0.46 0.99 0.62 20332940
accuracy 0.48 46405270
macro avg 0.68 0.53 0.38 46405270
weighted avg 0.70 0.48 0.35 46405270
Accuracy: 0.47715774523022925
precision recall f1-score support
0 0.14 0.03 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.54 0.51 0.50 2117913
weighted avg 0.88 0.92 0.90 2117913
Accuracy: 0.9211974240679386
40-80%
precision recall f1-score support
0 0.89 0.08 0.14 26113946
1 0.47 0.99 0.63 21397219
accuracy 0.49 47511165
macro avg 0.68 0.53 0.39 47511165
weighted avg 0.70 0.49 0.37 47511165
Accuracy: 0.48820526711984435
precision recall f1-score support
0 0.09 0.03 0.05 41616
1 0.96 0.99 0.98 1064279
accuracy 0.95 1105895
macro avg 0.53 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9517784238105788
80-90%
precision recall f1-score support
0 0.09 0.05 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.96 124036
macro avg 0.53 0.52 0.52 124036
weighted avg 0.95 0.96 0.96 124036
Accuracy: 0.9637363346125318
90-100%
precision recall f1-score support
0 0.08 0.04 0.05 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.53 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9660143870416017
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.94 0.02 0.04 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.46 45456361
macro avg 0.70 0.51 0.33 45456361
weighted avg 0.72 0.46 0.31 45456361
Accuracy: 0.4634114024217645
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 4873589
1 0.00 1.00 0.00 3872
accuracy 0.08 4877461
macro avg 0.50 0.54 0.07 4877461
weighted avg 1.00 0.08 0.14 4877461
Accuracy: 0.07890129721180754
1-10%
precision recall f1-score support
0 0.90 0.01 0.02 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.50 0.25 24965875
weighted avg 0.72 0.33 0.17 24965875
Accuracy: 0.32577632468319256
10-20%
precision recall f1-score support
0 0.59 0.01 0.01 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.66 0.50 0.43 7518650
weighted avg 0.69 0.73 0.61 7518650
Accuracy: 0.7268287525021114
20-40%
precision recall f1-score support
0 0.52 0.01 0.02 744974
1 0.85 1.00 0.92 4060539
accuracy 0.85 4805513
macro avg 0.68 0.50 0.47 4805513
weighted avg 0.80 0.85 0.78 4805513
Accuracy: 0.8450872986921479
40-80%
precision recall f1-score support
0 0.52 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.72 0.51 0.49 2719684
weighted avg 0.88 0.91 0.87 2719684
Accuracy: 0.9133406675187264
80-90%
precision recall f1-score support
0 0.52 0.02 0.04 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.73 0.51 0.50 315349
weighted avg 0.92 0.94 0.91 315349
Accuracy: 0.9411953105923913
90-100%
precision recall f1-score support
0 0.50 0.02 0.04 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.73 0.51 0.51 253829
weighted avg 0.92 0.95 0.92 253829
Accuracy: 0.9463654665148584
Treshold: 0.5
All
precision recall f1-score support
0 0.92 0.04 0.08 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.69 0.52 0.36 45456361
weighted avg 0.71 0.47 0.33 45456361
Accuracy: 0.47456570489661504
precision recall f1-score support
0 0.92 0.04 0.08 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.69 0.52 0.36 45456361
weighted avg 0.71 0.47 0.33 45456361
Accuracy: 0.47456570489661504
0-1%
precision recall f1-score support
0 1.00 0.15 0.27 4873589
1 0.00 0.99 0.00 3872
accuracy 0.15 4877461
macro avg 0.50 0.57 0.13 4877461
weighted avg 1.00 0.15 0.27 4877461
Accuracy: 0.15409431259419604
precision recall f1-score support
0 1.00 0.15 0.27 4873589
1 0.00 0.99 0.00 3872
accuracy 0.15 4877461
macro avg 0.50 0.57 0.13 4877461
weighted avg 1.00 0.15 0.27 4877461
Accuracy: 0.15409431259419604
1-10%
precision recall f1-score support
0 0.89 0.02 0.04 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.51 0.26 24965875
weighted avg 0.71 0.33 0.18 24965875
Accuracy: 0.3323101633730042
precision recall f1-score support
0 0.96 0.05 0.09 21822692
1 0.28 1.00 0.43 8020644
accuracy 0.30 29843336
macro avg 0.62 0.52 0.26 29843336
weighted avg 0.78 0.30 0.18 29843336
Accuracy: 0.30318336395100065
10-20%
precision recall f1-score support
0 0.94 0.05 0.09 23880186
1 0.37 1.00 0.54 13481800
accuracy 0.39 37361986
macro avg 0.66 0.52 0.31 37361986
weighted avg 0.74 0.39 0.25 37361986
Accuracy: 0.3882933043227413
precision recall f1-score support
0 0.48 0.01 0.02 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.60 0.50 0.43 7518650
weighted avg 0.66 0.73 0.62 7518650
Accuracy: 0.7261151935520339
20-40%
precision recall f1-score support
0 0.35 0.01 0.03 744974
1 0.85 1.00 0.91 4060539
accuracy 0.84 4805513
macro avg 0.60 0.50 0.47 4805513
weighted avg 0.77 0.84 0.78 4805513
Accuracy: 0.8432288082458627
40-80%
precision recall f1-score support
0 0.29 0.02 0.04 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.60 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9108234633141203
precision recall f1-score support
0 0.92 0.04 0.08 24861069
1 0.46 1.00 0.63 20026114
accuracy 0.47 44887183
macro avg 0.69 0.52 0.36 44887183
weighted avg 0.71 0.47 0.33 44887183
Accuracy: 0.4686573447926104
80-90%
precision recall f1-score support
0 0.26 0.03 0.05 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.60 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9382335127113135
90-100%
precision recall f1-score support
0 0.25 0.03 0.05 13620
1 0.95 1.00 0.97 240209
accuracy 0.94 253829
macro avg 0.60 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.943355566148864
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.97 0.01 0.02 22531902
1 0.43 1.00 0.60 16938696
accuracy 0.43 39470598
macro avg 0.70 0.50 0.31 39470598
weighted avg 0.74 0.43 0.27 39470598
Accuracy: 0.43401949471350804
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 1549999
1 0.00 0.00 0.00 0
accuracy 0.08 1549999
macro avg 0.50 0.04 0.07 1549999
weighted avg 1.00 0.08 0.15 1549999
Accuracy: 0.07853359905393488
1-10%
precision recall f1-score support
0 0.98 0.00 0.01 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.10 12711176
macro avg 0.54 0.50 0.10 12711176
weighted avg 0.89 0.10 0.03 12711176
Accuracy: 0.10443384624679888
10-20%
precision recall f1-score support
0 0.82 0.00 0.00 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.30 8856813
weighted avg 0.65 0.43 0.26 8856813
Accuracy: 0.4313116919144618
20-40%
precision recall f1-score support
0 0.72 0.00 0.00 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.51 8578813
Accuracy: 0.6512376479123627
40-80%
precision recall f1-score support
0 0.74 0.00 0.01 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.77 0.50 0.45 6296625
weighted avg 0.78 0.79 0.70 6296625
Accuracy: 0.79471367597721
80-90%
precision recall f1-score support
0 0.81 0.00 0.01 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.83 0.50 0.46 810732
weighted avg 0.85 0.85 0.79 810732
Accuracy: 0.8549459007415521
90-100%
precision recall f1-score support
0 0.78 0.00 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.82 0.50 0.47 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8669437608786987
Treshold: 0.5
All
precision recall f1-score support
0 0.96 0.02 0.04 22531902
1 0.43 1.00 0.61 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.32 39470598
weighted avg 0.73 0.44 0.28 39470598
Accuracy: 0.44080791479267684
precision recall f1-score support
0 0.96 0.02 0.04 22531902
1 0.43 1.00 0.61 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.32 39470598
weighted avg 0.73 0.44 0.28 39470598
Accuracy: 0.44080791479267684
0-1%
precision recall f1-score support
0 1.00 0.17 0.29 1549999
1 0.00 0.00 0.00 0
accuracy 0.17 1549999
macro avg 0.50 0.08 0.14 1549999
weighted avg 1.00 0.17 0.29 1549999
Accuracy: 0.16862785072764563
1-10%
precision recall f1-score support
0 0.99 0.03 0.06 12989887
1 0.09 1.00 0.17 1271288
accuracy 0.12 14261175
macro avg 0.54 0.52 0.12 14261175
weighted avg 0.91 0.12 0.07 14261175
Accuracy: 0.11858826499219033
precision recall f1-score support
0 0.98 0.01 0.03 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.11 12711176
macro avg 0.54 0.51 0.11 12711176
weighted avg 0.90 0.11 0.04 12711176
Accuracy: 0.11248644499926679
10-20%
precision recall f1-score support
0 0.81 0.01 0.01 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.31 8856813
weighted avg 0.65 0.43 0.27 8856813
Accuracy: 0.43288471823894215
20-40%
precision recall f1-score support
0 0.97 0.02 0.04 21029926
1 0.34 1.00 0.51 10666875
accuracy 0.35 31696801
macro avg 0.65 0.51 0.28 31696801
weighted avg 0.76 0.35 0.20 31696801
Accuracy: 0.3507822130062904
precision recall f1-score support
0 0.72 0.01 0.01 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.52 8578813
Accuracy: 0.652011764331499
40-80%
precision recall f1-score support
0 0.96 0.02 0.04 22324987
1 0.42 1.00 0.59 15668439
accuracy 0.42 37993426
macro avg 0.69 0.51 0.32 37993426
weighted avg 0.74 0.42 0.27 37993426
Accuracy: 0.42446380065856654
precision recall f1-score support
0 0.73 0.01 0.02 1295061
1 0.80 1.00 0.89 5001564
accuracy 0.80 6296625
macro avg 0.76 0.50 0.45 6296625
weighted avg 0.78 0.80 0.71 6296625
Accuracy: 0.7953721239552936
80-90%
precision recall f1-score support
0 0.78 0.01 0.02 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.82 0.51 0.47 810732
weighted avg 0.85 0.86 0.79 810732
Accuracy: 0.8557155755539438
90-100%
precision recall f1-score support
0 0.80 0.01 0.03 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.51 0.48 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8678380649420803
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.37 0.51 28055468
1 0.52 0.88 0.65 21729815
accuracy 0.59 49785283
macro avg 0.66 0.63 0.58 49785283
weighted avg 0.68 0.59 0.57 49785283
Accuracy: 0.5931255427432239
0-1%
precision recall f1-score support
0 0.83 0.38 0.52 27764588
1 0.46 0.88 0.61 17098553
accuracy 0.57 44863141
macro avg 0.65 0.63 0.56 44863141
weighted avg 0.69 0.57 0.55 44863141
Accuracy: 0.5662408479156642
1-10%
precision recall f1-score support
0 0.08 0.14 0.10 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.51 0.50 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.8343477412270506
10-20%
precision recall f1-score support
0 0.01 0.15 0.02 2455
1 0.99 0.88 0.93 257616
accuracy 0.87 260071
macro avg 0.50 0.51 0.48 260071
weighted avg 0.98 0.87 0.92 260071
Accuracy: 0.8720080285768117
20-40%
precision recall f1-score support
0 0.01 0.18 0.01 659
1 1.00 0.88 0.93 130568
accuracy 0.88 131227
macro avg 0.50 0.53 0.47 131227
weighted avg 0.99 0.88 0.93 131227
Accuracy: 0.8770832222027479
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.88 0.93 65234
accuracy 0.88 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.88 0.93 65403
Accuracy: 0.8770851489992814
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.88 0.93 7371
accuracy 0.88 7386
macro avg 0.50 0.51 0.47 7386
weighted avg 1.00 0.88 0.93 7386
Accuracy: 0.8773354995938262
90-100%
precision recall f1-score support
0 0.01 0.28 0.01 18
1 1.00 0.89 0.94 5686
accuracy 0.88 5704
macro avg 0.50 0.58 0.48 5704
weighted avg 0.99 0.88 0.94 5704
Accuracy: 0.8846423562412342
Treshold: 0.5
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
10-20%
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.10 0.17 26119367
1 0.47 0.98 0.64 21615229
accuracy 0.50 47734596
macro avg 0.68 0.54 0.41 47734596
weighted avg 0.70 0.50 0.39 47734596
Accuracy: 0.49883801258106386
0-1%
precision recall f1-score support
0 1.00 0.17 0.29 12053010
1 0.05 0.98 0.09 508421
accuracy 0.20 12561431
macro avg 0.52 0.58 0.19 12561431
weighted avg 0.96 0.20 0.28 12561431
Accuracy: 0.20413693312489636
1-10%
precision recall f1-score support
0 0.67 0.03 0.06 13368467
1 0.52 0.98 0.68 14466820
accuracy 0.53 27835287
macro avg 0.60 0.51 0.37 27835287
weighted avg 0.59 0.53 0.39 27835287
Accuracy: 0.5278179815426368
10-20%
precision recall f1-score support
0 0.21 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.54 0.51 0.49 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8606195537545375
20-40%
precision recall f1-score support
0 0.13 0.03 0.05 147488
1 0.93 0.98 0.96 1970425
accuracy 0.92 2117913
macro avg 0.53 0.51 0.50 2117913
weighted avg 0.88 0.92 0.89 2117913
Accuracy: 0.9179050319819558
40-80%
precision recall f1-score support
0 0.08 0.04 0.05 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.948125274099259
80-90%
precision recall f1-score support
0 0.07 0.05 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.96 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.96 0.96 124036
Accuracy: 0.9597697442677933
90-100%
precision recall f1-score support
0 0.07 0.05 0.05 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9622013179737411
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.63 1.00 0.77 25421477
1 0.00 0.00 0.00 14975241
accuracy 0.63 40396718
macro avg 0.31 0.50 0.39 40396718
weighted avg 0.40 0.63 0.49 40396718
Accuracy: 0.6292956026774255
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.59 1.00 0.74 25924842
1 0.00 0.00 0.00 18362515
accuracy 0.59 44287357
macro avg 0.29 0.50 0.37 44287357
weighted avg 0.34 0.59 0.43 44287357
Accuracy: 0.5853779443194138
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 26072330
1 0.00 0.00 0.00 20332940
accuracy 0.56 46405270
macro avg 0.28 0.50 0.36 46405270
weighted avg 0.32 0.56 0.40 46405270
Accuracy: 0.561839851378949
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.55 1.00 0.71 26113946
1 0.00 0.00 0.00 21397219
accuracy 0.55 47511165
macro avg 0.27 0.50 0.35 47511165
weighted avg 0.30 0.55 0.39 47511165
Accuracy: 0.549638090330978
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.5
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.27 0.41 28055468
1 0.50 0.93 0.65 21729815
accuracy 0.56 49785283
macro avg 0.66 0.60 0.53 49785283
weighted avg 0.69 0.56 0.51 49785283
Accuracy: 0.5581005535310505
0-1%
precision recall f1-score support
0 0.86 0.27 0.41 27764588
1 0.44 0.93 0.60 17098553
accuracy 0.52 44863141
macro avg 0.65 0.60 0.51 44863141
weighted avg 0.70 0.52 0.48 44863141
Accuracy: 0.5225326733141579
1-10%
precision recall f1-score support
0 0.08 0.08 0.08 287564
1 0.94 0.93 0.93 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8777171880653615
10-20%
precision recall f1-score support
0 0.01 0.09 0.02 2455
1 0.99 0.93 0.96 257616
accuracy 0.92 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.92 0.95 260071
Accuracy: 0.9233863060471948
20-40%
precision recall f1-score support
0 0.01 0.11 0.02 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9285131870727823
40-80%
precision recall f1-score support
0 0.01 0.17 0.01 169
1 1.00 0.93 0.96 65234
accuracy 0.93 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.93 0.96 65403
Accuracy: 0.9278626362705075
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.93 0.96 7371
accuracy 0.93 7386
macro avg 0.50 0.53 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.9278364473327918
90-100%
precision recall f1-score support
0 0.01 0.28 0.02 18
1 1.00 0.93 0.96 5686
accuracy 0.93 5704
macro avg 0.51 0.60 0.49 5704
weighted avg 0.99 0.93 0.96 5704
Accuracy: 0.929523141654979
Treshold: 0.5
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
10-20%
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.05 0.09 26119367
1 0.46 0.99 0.63 21615229
accuracy 0.48 47734596
macro avg 0.68 0.52 0.36 47734596
weighted avg 0.71 0.48 0.34 47734596
Accuracy: 0.477081318547244
0-1%
precision recall f1-score support
0 1.00 0.09 0.17 12053010
1 0.04 0.99 0.08 508421
accuracy 0.13 12561431
macro avg 0.52 0.54 0.13 12561431
weighted avg 0.96 0.13 0.16 12561431
Accuracy: 0.12700344411397077
1-10%
precision recall f1-score support
0 0.68 0.01 0.03 13368467
1 0.52 0.99 0.68 14466820
accuracy 0.52 27835287
macro avg 0.60 0.50 0.36 27835287
weighted avg 0.60 0.52 0.37 27835287
Accuracy: 0.5234024711151711
10-20%
precision recall f1-score support
0 0.24 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.56 0.50 0.48 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8669455068948828
20-40%
precision recall f1-score support
0 0.17 0.02 0.03 147488
1 0.93 0.99 0.96 1970425
accuracy 0.93 2117913
macro avg 0.55 0.51 0.50 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9257330211392064
40-80%
precision recall f1-score support
0 0.13 0.02 0.04 41616
1 0.96 0.99 0.98 1064279
accuracy 0.96 1105895
macro avg 0.54 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9571279371007193
80-90%
precision recall f1-score support
0 0.13 0.04 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.55 0.52 0.52 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9693637331097423
90-100%
precision recall f1-score support
0 0.12 0.03 0.05 2328
1 0.98 0.99 0.99 97067
accuracy 0.97 99395
macro avg 0.55 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9715579254489662
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.63 1.00 0.77 25421477
1 0.00 0.00 0.00 14975241
accuracy 0.63 40396718
macro avg 0.31 0.50 0.39 40396718
weighted avg 0.40 0.63 0.49 40396718
Accuracy: 0.6292956026774255
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.59 1.00 0.74 25924842
1 0.00 0.00 0.00 18362515
accuracy 0.59 44287357
macro avg 0.29 0.50 0.37 44287357
weighted avg 0.34 0.59 0.43 44287357
Accuracy: 0.5853779443194138
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 26072330
1 0.00 0.00 0.00 20332940
accuracy 0.56 46405270
macro avg 0.28 0.50 0.36 46405270
weighted avg 0.32 0.56 0.40 46405270
Accuracy: 0.561839851378949
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.55 1.00 0.71 26113946
1 0.00 0.00 0.00 21397219
accuracy 0.55 47511165
macro avg 0.27 0.50 0.35 47511165
weighted avg 0.30 0.55 0.39 47511165
Accuracy: 0.549638090330978
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.94 0.03 0.05 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.70 0.51 0.34 45456361
weighted avg 0.72 0.47 0.31 45456361
Accuracy: 0.46604038541492576
0-1%
precision recall f1-score support
0 1.00 0.10 0.18 4873589
1 0.00 1.00 0.00 3872
accuracy 0.10 4877461
macro avg 0.50 0.55 0.09 4877461
weighted avg 1.00 0.10 0.18 4877461
Accuracy: 0.09706382070507585
1-10%
precision recall f1-score support
0 0.90 0.01 0.02 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.50 0.25 24965875
weighted avg 0.71 0.33 0.17 24965875
Accuracy: 0.32720980137888217
10-20%
precision recall f1-score support
0 0.55 0.01 0.01 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.64 0.50 0.43 7518650
weighted avg 0.68 0.73 0.61 7518650
Accuracy: 0.726674868493679
20-40%
precision recall f1-score support
0 0.45 0.01 0.02 744974
1 0.85 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.65 0.50 0.47 4805513
weighted avg 0.79 0.84 0.78 4805513
Accuracy: 0.8446887980534025
40-80%
precision recall f1-score support
0 0.43 0.02 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.67 0.51 0.49 2719684
weighted avg 0.87 0.91 0.87 2719684
Accuracy: 0.9127990604790851
80-90%
precision recall f1-score support
0 0.43 0.02 0.04 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.69 0.51 0.51 315349
weighted avg 0.91 0.94 0.91 315349
Accuracy: 0.9406593964147658
90-100%
precision recall f1-score support
0 0.41 0.02 0.05 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.68 0.51 0.51 253829
weighted avg 0.92 0.95 0.92 253829
Accuracy: 0.9457469398689669
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.96 0.01 0.02 22531902
1 0.43 1.00 0.60 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.31 39470598
weighted avg 0.74 0.44 0.27 39470598
Accuracy: 0.43602329004490886
0-1%
precision recall f1-score support
0 1.00 0.11 0.19 1549999
1 0.00 0.00 0.00 0
accuracy 0.11 1549999
macro avg 0.50 0.05 0.10 1549999
weighted avg 1.00 0.11 0.19 1549999
Accuracy: 0.1064949074160693
1-10%
precision recall f1-score support
0 0.98 0.01 0.01 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.11 12711176
macro avg 0.54 0.50 0.10 12711176
weighted avg 0.90 0.11 0.03 12711176
Accuracy: 0.10668100260746921
10-20%
precision recall f1-score support
0 0.81 0.00 0.01 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.30 8856813
weighted avg 0.65 0.43 0.26 8856813
Accuracy: 0.43175327287592047
20-40%
precision recall f1-score support
0 0.72 0.00 0.01 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.52 8578813
Accuracy: 0.6514527126305236
40-80%
precision recall f1-score support
0 0.73 0.00 0.01 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.76 0.50 0.45 6296625
weighted avg 0.78 0.79 0.71 6296625
Accuracy: 0.7948883727393643
80-90%
precision recall f1-score support
0 0.80 0.01 0.01 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.83 0.50 0.47 810732
weighted avg 0.85 0.86 0.79 810732
Accuracy: 0.8551469536172249
90-100%
precision recall f1-score support
0 0.79 0.01 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.50 0.47 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8671958465878399
Treshold: 0.5
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9773902 | 0.404839 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10079618 | 0.404872 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9740182 | 0.404872 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10077204 | 0.404874 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10075592 | 0.404874 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9723106 | 0.404903 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10130629 | 0.404909 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9665622 | 0.404927 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10205064 | 0.404963 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.9] | 10299939 | 0.405037 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.9] | 10298833 | 0.405037 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10300318 | 0.40504 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10308093 | 0.405046 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9504407 | 0.405077 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 10368285 | 0.405101 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 10396184 | 0.405128 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440934 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10440919 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440936 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440857 | 0.405174 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440865 | 0.405174 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10439791 | 0.405179 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8731112 | 0.405191 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8730451 | 0.405225 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8737176 | 0.405235 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8584445 | 0.405299 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8589288 | 0.405313 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8591689 | 0.40532 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8331243 | 0.405572 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8331236 | 0.405583 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8330528 | 0.405586 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7836788 | 0.40828 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 7775906 | 0.408412 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6918244 | 0.408467 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916945 | 0.408473 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6915363 | 0.408478 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6871009 | 0.408576 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868738 | 0.408583 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868367 | 0.408585 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7446464 | 0.409234 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647217 | 0.40926 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6644960 | 0.409272 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643390 | 0.409278 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7439896 | 0.409298 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445242 | 0.409313 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8034724 | 0.412051 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728960 | 0.412332 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728284 | 0.412336 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5727499 | 0.41234 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7858430 | 0.41261 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7758890 | 0.412933 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 6100603 | 0.413369 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5395897 | 0.413662 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5395433 | 0.413663 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394390 | 0.41367 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8242479 | 0.413734 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8242479 | 0.413734 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5624188 | 0.415091 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5603042 | 0.415147 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5577121 | 0.415205 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4778830 | 0.41633 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6734228 | 0.416334 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777917 | 0.416335 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777960 | 0.416335 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6613680 | 0.416755 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555803 | 0.416964 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4544576 | 0.417459 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4542983 | 0.417466 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4543024 | 0.417467 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4654145 | 0.418916 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088213 | 0.419739 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086760 | 0.419747 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086178 | 0.41975 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377254 | 0.420167 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4370271 | 0.420208 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4350655 | 0.420286 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5951926 | 0.421107 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4856851 | 0.42233 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3707754 | 0.423329 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3360769 | 0.423796 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3359639 | 0.423802 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3359046 | 0.423806 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4429453 | 0.425143 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4409655 | 0.425233 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4359209 | 0.425438 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3769272 | 0.42713 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3795018 | 0.42791 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794070 | 0.42792 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830034 | 0.428148 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2828327 | 0.428148 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833313 | 0.428156 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3705737 | 0.428311 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2930021 | 0.429206 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2697165 | 0.433151 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2681969 | 0.433199 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2565555 | 0.43379 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2484169 | 0.434066 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758243 | 0.435337 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2199323 | 0.435544 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1699015 | 0.438259 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1538851 | 0.439285 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1455705 | 0.439779 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1395979 | 0.440154 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1175850 | 0.441271 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9749804 | 0.213586 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9741455 | 0.213588 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9737587 | 0.213589 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 9372212 | 0.213672 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9125045 | 0.213803 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10266558 | 0.213809 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10273543 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10273491 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273542 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 10273475 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.9] | 10273489 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273540 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10273433 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.9] | 10273491 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273523 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10273392 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272578 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273094 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10273447 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 10273472 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272673 | 0.213819 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272540 | 0.213819 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272602 | 0.213819 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270596 | 0.213823 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270618 | 0.213823 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10270931 | 0.213823 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10270543 | 0.213824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10269569 | 0.213824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10253401 | 0.213858 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10239417 | 0.213887 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10180987 | 0.213996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10143683 | 0.214071 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7247795 | 0.216211 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 7199618 | 0.21628 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7148453 | 0.216419 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146708 | 0.216428 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7147423 | 0.216431 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7365978 | 0.216706 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7382195 | 0.216717 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7376944 | 0.216717 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7344265 | 0.216761 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342936 | 0.216761 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7345719 | 0.216767 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216965 | 0.216996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7215536 | 0.216998 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7216309 | 0.217004 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8225475 | 0.218649 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8207953 | 0.218682 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890608 | 0.219222 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 5591729 | 0.220011 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5362457 | 0.220694 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5358127 | 0.220695 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5360087 | 0.220696 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4942236 | 0.221451 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4936645 | 0.221467 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4925755 | 0.221508 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6739749 | 0.221977 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6733932 | 0.221993 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6729461 | 0.222005 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4737250 | 0.22218 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4734029 | 0.22219 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733150 | 0.222191 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6313074 | 0.223174 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6304059 | 0.2232 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6293267 | 0.223231 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5703595 | 0.223686 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4295932 | 0.224237 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5377652 | 0.224473 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4191256 | 0.224658 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4189445 | 0.224661 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.5] | 4186743 | 0.224667 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3779296 | 0.225865 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3778802 | 0.225866 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3777924 | 0.225868 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3704922 | 0.226196 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3703970 | 0.226198 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3704170 | 0.226199 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3444625 | 0.227751 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3985804 | 0.228174 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3878974 | 0.228482 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3075274 | 0.229086 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3071371 | 0.229101 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3070562 | 0.229106 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4259062 | 0.229769 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4243978 | 0.229824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4233153 | 0.229866 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4110260 | 0.23031 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4090224 | 0.23038 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4083679 | 0.230404 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2724482 | 0.231276 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2724487 | 0.231277 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2723140 | 0.231285 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2825704 | 0.231689 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487684 | 0.232159 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2487458 | 0.232161 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2486200 | 0.232167 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224245 | 0.234625 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2788932 | 0.235597 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2782934 | 0.235623 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2776562 | 0.23565 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684624 | 0.24083 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1659779 | 0.240959 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647700 | 0.241021 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 525074 | 0.247531 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420889 | 0.248217 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 261075 | 0.249315 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193561 | 0.2498 | ../../result/log/zipf_1_15 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 8954715 | 0.152718 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 9196565 | 0.152728 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000330 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10000375 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000203 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000401 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000414 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10000395 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10000097 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000400 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000312 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 9999712 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000053 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 9999162 | 0.152753 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9531967 | 0.152768 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9531595 | 0.152769 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9517061 | 0.15277 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9732834 | 0.153175 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9713966 | 0.153207 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9680521 | 0.153255 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9604876 | 0.15338 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586284 | 0.153416 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9568910 | 0.153447 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9556774 | 0.15347 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9544770 | 0.153491 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9537934 | 0.153501 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7120262 | 0.15423 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 7079830 | 0.154238 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7016918 | 0.154434 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7014777 | 0.154437 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7009169 | 0.154446 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7232291 | 0.155173 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 5473148 | 0.157091 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5229392 | 0.157674 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5226757 | 0.157678 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5227411 | 0.157682 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5213851 | 0.15956 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6418211 | 0.159616 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6415977 | 0.159622 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6413286 | 0.159628 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6040582 | 0.160527 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035426 | 0.16054 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6031811 | 0.160549 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4182183 | 0.160571 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4065657 | 0.160931 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4064883 | 0.160932 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4062785 | 0.160937 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5012866 | 0.16254 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4633419 | 0.163288 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4628345 | 0.163297 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696286 | 0.163388 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3329675 | 0.163587 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4356984 | 0.164048 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4353128 | 0.164057 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4347879 | 0.164066 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4167613 | 0.165734 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4164970 | 0.165743 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4163739 | 0.165746 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021354 | 0.166205 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020575 | 0.166207 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4019865 | 0.166209 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2617987 | 0.166683 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2615867 | 0.166692 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2614961 | 0.166696 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3549844 | 0.166744 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3423056 | 0.166911 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3419036 | 0.166917 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3419091 | 0.166919 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3445463 | 0.16707 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2831971 | 0.167105 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3314446 | 0.167228 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311970 | 0.167232 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3309778 | 0.167235 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2687928 | 0.169312 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2686843 | 0.169313 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2738921 | 0.169441 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839844 | 0.170378 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2827154 | 0.170429 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2822523 | 0.170447 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1883662 | 0.171925 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875241 | 0.171937 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1864327 | 0.171946 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022522 | 0.172074 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1747002 | 0.175033 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742919 | 0.175052 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1740023 | 0.175066 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 217023 | 0.183617 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128051 | 0.18425 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101791 | 0.184441 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9234302 | 0.0897435 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8678767 | 0.0898427 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9132960 | 0.0898524 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8537633 | 0.0898543 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9127353 | 0.089857 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9125886 | 0.0898588 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9122289 | 0.0898623 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.8] | 8605042 | 0.0898638 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8604425 | 0.0898642 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9119738 | 0.0898644 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8604072 | 0.0898644 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9116772 | 0.0898674 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8875272 | 0.0901127 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8875082 | 0.090113 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8873274 | 0.0901154 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871109 | 0.0901184 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871109 | 0.0901184 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8869507 | 0.0901196 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7072413 | 0.090343 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 7039117 | 0.0903447 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8399329 | 0.0906425 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8395556 | 0.090647 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8394244 | 0.090648 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6564964 | 0.0906803 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6564442 | 0.0906805 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6564585 | 0.0906806 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8348337 | 0.0907016 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8343410 | 0.0907082 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8341028 | 0.0907109 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 5455433 | 0.0916328 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4885936 | 0.0923636 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4886450 | 0.0923637 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4886072 | 0.0923637 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6212278 | 0.0935659 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210618 | 0.0935684 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210561 | 0.0935685 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6209984 | 0.0935694 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6209434 | 0.0935707 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6209395 | 0.0935708 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4089960 | 0.0937022 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3740510 | 0.0943411 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3740168 | 0.0943415 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3740868 | 0.094342 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5443960 | 0.0949 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5443291 | 0.0949008 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5441395 | 0.0949039 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5428568 | 0.0949253 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5428111 | 0.0949261 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5427760 | 0.0949267 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3201855 | 0.0956834 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208194 | 0.0973667 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208092 | 0.0973671 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208092 | 0.0973671 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4207980 | 0.0973673 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4207477 | 0.0973686 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4207168 | 0.0973695 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4022189 | 0.0976843 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2380282 | 0.0982626 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2379947 | 0.0982632 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2379664 | 0.0982641 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3762497 | 0.0984022 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3761198 | 0.0984033 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3760799 | 0.0984036 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3727070 | 0.0984849 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726531 | 0.0984863 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3725966 | 0.0984879 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001759 | 0.100436 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001145 | 0.100437 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000561 | 0.100439 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998015 | 0.100447 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2997658 | 0.100448 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2997556 | 0.100449 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2345657 | 0.102234 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2082106 | 0.103085 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1750243 | 0.104286 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1809011 | 0.104392 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1808268 | 0.104395 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1807381 | 0.104398 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1791179 | 0.104443 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1790454 | 0.104446 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1789547 | 0.10445 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267709 | 0.106156 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87314 | 0.113052 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 51152 | 0.113313 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36115 | 0.113426 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9769605 | 0.405016 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9736498 | 0.405046 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10075559 | 0.405049 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10072762 | 0.405053 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10071149 | 0.405053 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9719385 | 0.405075 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10126145 | 0.405082 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9661889 | 0.405102 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10201390 | 0.405133 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.9] | 10295691 | 0.405206 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.9] | 10296736 | 0.405207 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10297041 | 0.405209 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10304584 | 0.405217 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9499625 | 0.40526 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 10365115 | 0.405273 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 10392798 | 0.405304 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437608 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10437581 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437608 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437506 | 0.405348 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437518 | 0.405348 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10436347 | 0.405354 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8726327 | 0.405386 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8725868 | 0.40542 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8732526 | 0.405431 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8580732 | 0.405486 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8585665 | 0.405501 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8588061 | 0.405508 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8326850 | 0.405756 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8327166 | 0.405763 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8326462 | 0.405766 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7834799 | 0.408448 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 7774546 | 0.408582 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916002 | 0.408634 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6915047 | 0.40864 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6913603 | 0.408645 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6869407 | 0.40874 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6867350 | 0.408746 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6867037 | 0.408747 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7443136 | 0.409405 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6644635 | 0.409435 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6642620 | 0.409445 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6641067 | 0.409452 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7436391 | 0.409469 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7441925 | 0.409488 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8031581 | 0.412232 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5726004 | 0.412496 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5725118 | 0.4125 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5724526 | 0.412503 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7853577 | 0.412794 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7754885 | 0.413109 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 6099054 | 0.413529 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5391766 | 0.413825 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5391977 | 0.413827 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390735 | 0.413832 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8239578 | 0.413925 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8239578 | 0.413925 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5622068 | 0.415253 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5600263 | 0.415314 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5574530 | 0.415374 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4776669 | 0.416468 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4776046 | 0.416472 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4775900 | 0.416473 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6733777 | 0.416491 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6613943 | 0.416905 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555117 | 0.417117 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4543597 | 0.417588 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4542423 | 0.417593 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542238 | 0.417596 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4652674 | 0.419069 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088282 | 0.419873 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086930 | 0.41988 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086584 | 0.419881 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4375097 | 0.420329 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4368814 | 0.420365 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4349191 | 0.420441 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5949888 | 0.421275 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4854443 | 0.422503 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3706052 | 0.423479 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3363799 | 0.423905 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3362433 | 0.423914 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362161 | 0.423915 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4430991 | 0.425282 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4411075 | 0.425371 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4361114 | 0.425575 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3768645 | 0.427273 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3794773 | 0.428055 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3793209 | 0.428066 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830245 | 0.428275 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2828400 | 0.428276 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833294 | 0.428283 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3704986 | 0.428455 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2930198 | 0.429341 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2697753 | 0.433287 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2681949 | 0.433339 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2565641 | 0.433933 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2485375 | 0.434205 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1757198 | 0.435467 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2199923 | 0.435688 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1702225 | 0.438384 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1541566 | 0.439412 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456803 | 0.439916 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1396899 | 0.440291 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176660 | 0.441402 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9750736 | 0.213751 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9743143 | 0.213754 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9739734 | 0.213755 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 9371039 | 0.213855 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10267720 | 0.213974 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274582 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10274500 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274572 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10274534 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 10274512 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.9] | 10274532 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274003 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273607 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.9] | 10274534 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10274439 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10274493 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 10274512 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273648 | 0.213985 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273532 | 0.213985 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273595 | 0.213985 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9125193 | 0.213987 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10271995 | 0.213988 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10271666 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10271755 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10271794 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270799 | 0.21399 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10256628 | 0.214019 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10243461 | 0.214046 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10183372 | 0.21416 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10147164 | 0.214231 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7248211 | 0.216368 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 7200645 | 0.216435 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7151491 | 0.21657 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7149477 | 0.216579 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7150467 | 0.216582 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7364218 | 0.216881 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7375330 | 0.216894 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7380065 | 0.216898 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342209 | 0.216934 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7343378 | 0.216936 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7344877 | 0.216942 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216374 | 0.217167 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7214966 | 0.217169 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7215727 | 0.217175 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8231439 | 0.218805 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8212051 | 0.218836 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7894610 | 0.21938 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 5593280 | 0.220169 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5362692 | 0.220857 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5358593 | 0.220859 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5360305 | 0.22086 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4943629 | 0.221601 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4936727 | 0.221616 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4925687 | 0.221659 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6742116 | 0.222142 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6736544 | 0.222158 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6732196 | 0.22217 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4738193 | 0.222326 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4735021 | 0.222335 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733840 | 0.222338 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6318541 | 0.223323 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6309387 | 0.22335 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6298342 | 0.223385 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5705574 | 0.223839 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4295017 | 0.224392 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5380365 | 0.224623 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4190226 | 0.224816 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4188394 | 0.224819 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.5] | 4185754 | 0.224825 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3780847 | 0.225992 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3780236 | 0.225994 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3779446 | 0.225996 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3706147 | 0.226329 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704837 | 0.226332 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3705147 | 0.226332 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3444957 | 0.227899 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3987701 | 0.228312 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3880149 | 0.228621 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3077311 | 0.229223 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072991 | 0.229237 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072201 | 0.229242 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4260116 | 0.22992 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4245335 | 0.229974 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4235217 | 0.230009 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111649 | 0.230457 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4091646 | 0.230531 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4085206 | 0.230552 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2725171 | 0.231416 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2725154 | 0.231417 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2723740 | 0.231426 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2828032 | 0.231829 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487232 | 0.232314 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2486949 | 0.232317 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2485862 | 0.232323 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224337 | 0.23477 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2788641 | 0.235744 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2782543 | 0.235772 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2776332 | 0.235798 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682058 | 0.241013 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1658056 | 0.241133 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1646157 | 0.241196 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 526246 | 0.247672 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420884 | 0.248365 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 260565 | 0.249465 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193186 | 0.249944 | ../../result/log/zipf_1_16 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 8966724 | 0.152807 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 9207106 | 0.152818 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010456 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10010485 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010326 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010510 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010513 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10010505 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010513 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010432 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10010226 | 0.152837 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010202 | 0.152837 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10009864 | 0.152838 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10009338 | 0.152839 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9547859 | 0.152851 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9547489 | 0.152852 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9535780 | 0.152853 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9746351 | 0.153262 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9728236 | 0.15329 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9696606 | 0.153341 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9616362 | 0.153467 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9598544 | 0.153498 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9581302 | 0.153529 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9568890 | 0.153551 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9557105 | 0.153572 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9550261 | 0.153584 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7127190 | 0.154333 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 7086766 | 0.154342 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7023421 | 0.15454 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7021371 | 0.154542 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7015930 | 0.154551 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7238923 | 0.155277 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 5478880 | 0.157195 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5236734 | 0.157779 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5233863 | 0.157783 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5234636 | 0.157786 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5216755 | 0.159664 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6422871 | 0.159729 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6420490 | 0.159735 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6417610 | 0.159743 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6044601 | 0.160647 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6039481 | 0.160661 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4186945 | 0.160669 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6035935 | 0.160669 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4067828 | 0.161033 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4068538 | 0.161034 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4065692 | 0.161038 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5017335 | 0.162652 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4638118 | 0.163395 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4633154 | 0.163404 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4701991 | 0.163493 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3332791 | 0.163688 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4361733 | 0.164157 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4357859 | 0.164165 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4352832 | 0.164175 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4173234 | 0.165839 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4170652 | 0.165847 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4169452 | 0.16585 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4026213 | 0.16631 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4025598 | 0.166311 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4024916 | 0.166314 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2619181 | 0.166771 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2617153 | 0.16678 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2616355 | 0.166784 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3552442 | 0.166855 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3427557 | 0.167009 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3423429 | 0.167015 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3423673 | 0.167016 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2837594 | 0.167167 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3449253 | 0.167174 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3318529 | 0.167323 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3316277 | 0.167327 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3313986 | 0.167329 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2690831 | 0.16941 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2689623 | 0.169411 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2741213 | 0.169538 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2842470 | 0.170479 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2830560 | 0.170523 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2825981 | 0.170541 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1884768 | 0.172017 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1876720 | 0.172025 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1865708 | 0.172037 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2024363 | 0.172162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746643 | 0.17513 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742907 | 0.175147 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739888 | 0.175162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216807 | 0.183694 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128353 | 0.184327 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101602 | 0.184524 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9242694 | 0.0897461 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9144740 | 0.0898567 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9139134 | 0.0898628 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9137767 | 0.0898644 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8686427 | 0.0898647 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9133902 | 0.0898684 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9131014 | 0.0898716 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9128188 | 0.0898745 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8544796 | 0.0898812 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.8] | 8611294 | 0.0898878 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8610365 | 0.0898882 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8610028 | 0.0898884 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8885767 | 0.090124 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8886004 | 0.090124 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8884109 | 0.0901252 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8882262 | 0.0901278 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8882262 | 0.0901278 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8880669 | 0.0901298 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7083588 | 0.0903566 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 7051152 | 0.0903573 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8405327 | 0.0906652 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8401564 | 0.0906702 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8400206 | 0.0906713 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6576404 | 0.0906925 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6575676 | 0.0906927 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6575861 | 0.0906929 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8355176 | 0.0907292 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8350532 | 0.0907341 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8348071 | 0.0907372 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 5459838 | 0.0916519 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4894579 | 0.0923771 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4894969 | 0.0923773 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4894672 | 0.0923775 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6217889 | 0.0935949 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6216166 | 0.0935974 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6216062 | 0.0935977 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6215585 | 0.0935983 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6215091 | 0.0935984 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6215014 | 0.0935986 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4096069 | 0.0937193 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3743350 | 0.0943692 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3743079 | 0.0943696 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3743751 | 0.0943697 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5452787 | 0.0949107 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5452024 | 0.094912 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5450060 | 0.0949163 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5437415 | 0.0949367 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5436795 | 0.0949382 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5436522 | 0.0949385 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3206714 | 0.0956928 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4212209 | 0.0973868 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4212109 | 0.097387 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4212109 | 0.097387 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4211953 | 0.0973876 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4211430 | 0.0973893 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4211188 | 0.0973898 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4028109 | 0.0976989 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2384703 | 0.098265 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2384344 | 0.0982657 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2384094 | 0.0982662 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3770881 | 0.0984211 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3769609 | 0.0984242 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3769124 | 0.0984251 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3732022 | 0.0985083 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3731373 | 0.0985102 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3730649 | 0.0985127 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3004477 | 0.100461 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003798 | 0.100463 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003222 | 0.100465 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000529 | 0.100473 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000155 | 0.100474 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000252 | 0.100474 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2348153 | 0.102259 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2084724 | 0.103106 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1752119 | 0.104302 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1810756 | 0.104408 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1809921 | 0.104411 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1809031 | 0.104415 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1791955 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1792437 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1790913 | 0.10447 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1269156 | 0.106185 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87208 | 0.113083 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 51014 | 0.113344 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36416 | 0.113451 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9771886 | 0.404899 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9738418 | 0.404932 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10078380 | 0.404938 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10074178 | 0.40494 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10075631 | 0.404941 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9721381 | 0.404961 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10128918 | 0.404974 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9664049 | 0.404988 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10203909 | 0.405024 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.9] | 10298403 | 0.405097 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.9] | 10297456 | 0.405097 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10298864 | 0.405099 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10306504 | 0.405107 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9500821 | 0.405148 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 10366576 | 0.405167 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 10394764 | 0.405197 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439539 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439467 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10439514 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439539 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439450 | 0.405243 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438399 | 0.405248 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8728082 | 0.405269 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8726886 | 0.405304 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8733354 | 0.405315 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8581461 | 0.405375 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8586606 | 0.405389 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8589245 | 0.405395 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328041 | 0.405643 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328479 | 0.405649 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8327732 | 0.405652 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7836914 | 0.408333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 7776044 | 0.408472 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6917199 | 0.408528 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916123 | 0.408533 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6914956 | 0.408539 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6870902 | 0.408634 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868887 | 0.408641 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868291 | 0.408644 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7446165 | 0.409288 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647794 | 0.40932 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6645249 | 0.409333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644053 | 0.409339 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7440328 | 0.409353 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445732 | 0.409371 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8034924 | 0.412109 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5730281 | 0.412374 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5729504 | 0.412378 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728852 | 0.412381 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7858768 | 0.412659 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7759105 | 0.412981 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 6103423 | 0.413404 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5395395 | 0.413709 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5395990 | 0.413711 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394726 | 0.413716 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8240720 | 0.413818 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8240720 | 0.413818 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625900 | 0.41513 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5604181 | 0.415189 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5578573 | 0.415244 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4780572 | 0.416354 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779714 | 0.416357 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779611 | 0.416358 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6735183 | 0.416378 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6615081 | 0.416793 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6556563 | 0.417008 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4546871 | 0.417476 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4545638 | 0.417479 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545583 | 0.417482 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4654213 | 0.418963 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090923 | 0.419757 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090029 | 0.41976 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4089402 | 0.419763 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377646 | 0.420218 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4370959 | 0.420257 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4351594 | 0.420333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952343 | 0.421169 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4857659 | 0.422392 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3708875 | 0.423366 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3365292 | 0.423799 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363908 | 0.423807 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3363487 | 0.423809 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4429964 | 0.4252 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4410744 | 0.425283 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4360560 | 0.42549 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3770422 | 0.427162 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3796090 | 0.427953 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794990 | 0.427964 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2832383 | 0.428161 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2830461 | 0.428163 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2835421 | 0.428171 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3706669 | 0.428353 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2932319 | 0.429231 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2700141 | 0.433176 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2684410 | 0.433224 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2568625 | 0.433817 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2488184 | 0.434089 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758568 | 0.435363 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2203235 | 0.435565 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1701893 | 0.438282 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1540387 | 0.439321 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456588 | 0.439811 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1396529 | 0.440189 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176510 | 0.441305 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9747434 | 0.213628 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9739230 | 0.21363 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9735705 | 0.213631 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 9369942 | 0.213726 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10265777 | 0.213843 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10272576 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10272629 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272627 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272629 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.9] | 10272574 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10272511 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.9] | 10272576 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272606 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 10272556 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272179 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10272536 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10272459 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 10272556 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10271706 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10271650 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10271597 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10271632 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10269955 | 0.213857 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10269910 | 0.213857 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268924 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10269872 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10269580 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9121962 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10252779 | 0.213892 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10239477 | 0.213918 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10179153 | 0.214034 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141557 | 0.214113 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7245609 | 0.216245 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 7197236 | 0.21632 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7146655 | 0.216453 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7144703 | 0.216462 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7145670 | 0.216464 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7359868 | 0.216771 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7370996 | 0.216784 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7375457 | 0.216786 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7337822 | 0.216822 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7339060 | 0.216824 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7340514 | 0.21683 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7212567 | 0.217055 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7211379 | 0.217057 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7211905 | 0.217064 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8225622 | 0.218677 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8208596 | 0.218706 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890041 | 0.219254 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 5590667 | 0.220045 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5359842 | 0.220738 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5356076 | 0.220739 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5357644 | 0.220741 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4940973 | 0.221476 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4935473 | 0.221493 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4924490 | 0.221535 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6734956 | 0.222037 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6729337 | 0.222053 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6724569 | 0.222067 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4738449 | 0.222188 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4735201 | 0.222198 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4734409 | 0.2222 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6309030 | 0.223228 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6300211 | 0.223253 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6289254 | 0.223285 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5702001 | 0.223727 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4293074 | 0.224267 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5375344 | 0.224522 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4189369 | 0.224683 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4187519 | 0.224686 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.5] | 4184896 | 0.224693 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3781650 | 0.225855 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3781220 | 0.225856 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3780457 | 0.225858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3706288 | 0.226191 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704953 | 0.226195 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3705211 | 0.226195 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3444390 | 0.227766 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3986529 | 0.228188 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3880286 | 0.228496 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3076902 | 0.229077 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072851 | 0.229091 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072122 | 0.229097 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4260402 | 0.2298 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4245340 | 0.229855 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4234801 | 0.229894 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111180 | 0.23034 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4091778 | 0.230408 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4085178 | 0.230431 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2724773 | 0.231282 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2724954 | 0.231283 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2723549 | 0.231291 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2827211 | 0.231686 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2488327 | 0.232164 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2487992 | 0.232166 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2486732 | 0.232173 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224946 | 0.234618 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2789782 | 0.235604 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2783845 | 0.23563 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2777465 | 0.235659 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684121 | 0.240858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1660063 | 0.240977 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647886 | 0.241041 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 524824 | 0.247536 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420548 | 0.248225 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 260502 | 0.249325 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193420 | 0.249806 | ../../result/log/zipf_1_17 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 8960128 | 0.152738 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 9201293 | 0.152749 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002812 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10002858 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002641 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002874 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002878 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002876 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10002871 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002873 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002790 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002465 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002145 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10002553 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10001590 | 0.152788 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9523014 | 0.152804 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9536570 | 0.152804 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9536275 | 0.152805 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9734899 | 0.153213 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9717252 | 0.15324 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9685110 | 0.15329 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9607488 | 0.153418 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9589724 | 0.153449 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9572529 | 0.153477 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9560462 | 0.153499 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9548445 | 0.153521 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9541670 | 0.153532 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7122856 | 0.15426 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 7082153 | 0.154271 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018075 | 0.154471 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7015849 | 0.154474 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7010319 | 0.154484 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7231507 | 0.155212 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 5473917 | 0.157115 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5231447 | 0.157695 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5227521 | 0.157699 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5228704 | 0.157703 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5213195 | 0.159614 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6415091 | 0.159667 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6412682 | 0.159673 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6409686 | 0.159682 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6036959 | 0.160581 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032244 | 0.160593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4181920 | 0.160596 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6028506 | 0.160602 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4064674 | 0.16096 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4063819 | 0.16096 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4061748 | 0.160965 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5012482 | 0.162593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4634753 | 0.163329 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4629811 | 0.163337 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697984 | 0.163428 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3328763 | 0.163629 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4357895 | 0.164091 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354036 | 0.164098 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4348719 | 0.164108 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4169208 | 0.165773 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4166813 | 0.16578 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4165646 | 0.165784 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021861 | 0.166254 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021063 | 0.166257 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4020453 | 0.166258 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2617155 | 0.16672 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2615194 | 0.166728 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2614227 | 0.166733 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3553041 | 0.166764 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3426431 | 0.166932 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3422569 | 0.166939 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3422241 | 0.166939 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3449515 | 0.167086 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2832701 | 0.16712 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3317870 | 0.167243 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3315498 | 0.167247 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3313407 | 0.16725 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2687587 | 0.169354 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2686306 | 0.169354 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2738217 | 0.169482 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839561 | 0.170411 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2827109 | 0.170459 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2822472 | 0.170479 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1883432 | 0.171953 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874738 | 0.171965 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1863772 | 0.171976 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022310 | 0.172107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746120 | 0.175073 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742041 | 0.175092 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739006 | 0.175107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216929 | 0.183643 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128609 | 0.184273 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 102090 | 0.184467 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9240479 | 0.0897082 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9140590 | 0.0898125 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9134838 | 0.0898188 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9133405 | 0.0898207 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8683798 | 0.0898224 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9129884 | 0.0898245 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9126852 | 0.0898284 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9124191 | 0.0898314 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8542602 | 0.0898437 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8607827 | 0.0898513 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8608122 | 0.0898514 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.8] | 8608694 | 0.0898514 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8882245 | 0.0900872 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8881989 | 0.0900875 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8880142 | 0.0900897 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8878006 | 0.0900926 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8878006 | 0.0900926 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8876235 | 0.0900952 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7076669 | 0.0903462 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 7043324 | 0.0903498 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8404341 | 0.0906198 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8400569 | 0.090626 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8399085 | 0.0906271 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6567879 | 0.0906525 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6567706 | 0.0906527 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6568329 | 0.0906528 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8353580 | 0.0906838 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8348581 | 0.09069 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8346174 | 0.0906931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 5455846 | 0.0916217 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4888938 | 0.0923504 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4889390 | 0.0923506 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4889127 | 0.0923508 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6213882 | 0.0935793 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6212381 | 0.093582 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6212263 | 0.0935824 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6211569 | 0.0935837 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210982 | 0.0935847 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210939 | 0.0935849 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4090332 | 0.0936931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3740101 | 0.0943324 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3740335 | 0.0943325 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3740741 | 0.0943328 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5447795 | 0.0948853 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5447141 | 0.0948863 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5445326 | 0.0948899 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5432304 | 0.0949123 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5431793 | 0.0949135 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5431443 | 0.0949136 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3204640 | 0.0956679 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209882 | 0.0973594 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209758 | 0.0973597 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209758 | 0.0973597 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209602 | 0.0973601 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209180 | 0.0973607 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208960 | 0.0973613 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4026445 | 0.097665 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2382480 | 0.0982436 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2382153 | 0.0982441 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2381894 | 0.098245 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3767780 | 0.0983931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3766359 | 0.0983955 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3765984 | 0.098396 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3730537 | 0.0984798 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3729960 | 0.0984815 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3729374 | 0.0984827 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003823 | 0.100429 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003170 | 0.100431 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3002636 | 0.100432 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2999969 | 0.100441 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2999548 | 0.100442 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2999684 | 0.100442 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2347326 | 0.102232 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2083598 | 0.103091 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1749573 | 0.104295 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1808285 | 0.104398 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807629 | 0.1044 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1806752 | 0.104404 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1790047 | 0.104452 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789334 | 0.104454 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1788454 | 0.104458 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268039 | 0.10616 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87284 | 0.113031 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 50842 | 0.113293 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35743 | 0.113408 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9772939 | 0.404858 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9739576 | 0.404889 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10079016 | 0.404897 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10076403 | 0.404901 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10074669 | 0.404901 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9722629 | 0.404917 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10129870 | 0.404925 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9665321 | 0.404946 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10204455 | 0.404981 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.9] | 10299138 | 0.405058 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.9] | 10298097 | 0.405058 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10299781 | 0.405059 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10307228 | 0.405066 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9503273 | 0.405102 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 10367166 | 0.405128 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 10394864 | 0.405158 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439613 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439616 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10439702 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439716 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439714 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438585 | 0.405205 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8729644 | 0.405207 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8728768 | 0.405242 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8735480 | 0.405254 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8582437 | 0.405313 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8587930 | 0.405325 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8590536 | 0.405332 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8329579 | 0.405586 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8329974 | 0.405595 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8329380 | 0.405596 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7837368 | 0.408283 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 7776828 | 0.408416 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6919169 | 0.40846 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6917789 | 0.408467 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916499 | 0.40847 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6872222 | 0.408567 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6870251 | 0.408573 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6869797 | 0.408576 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7448289 | 0.409229 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6648927 | 0.409247 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6646598 | 0.409259 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644967 | 0.409265 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7441892 | 0.409297 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447352 | 0.409313 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8036225 | 0.412065 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5727110 | 0.412326 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5726248 | 0.41233 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5725344 | 0.412333 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7859222 | 0.412622 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7760967 | 0.412938 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 6102786 | 0.413364 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5391546 | 0.413664 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5392025 | 0.413664 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390439 | 0.413671 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8243229 | 0.413757 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8243229 | 0.413757 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625647 | 0.415084 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5603976 | 0.415143 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5577903 | 0.4152 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4778308 | 0.416311 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777614 | 0.416315 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777407 | 0.416316 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6736280 | 0.41633 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6616555 | 0.416744 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6558117 | 0.416954 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4544111 | 0.417436 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4542688 | 0.417442 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542541 | 0.417445 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4654377 | 0.418905 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090770 | 0.419706 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4089665 | 0.419712 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088985 | 0.419715 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377907 | 0.420158 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4371182 | 0.420198 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4351494 | 0.420276 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952093 | 0.421119 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4856517 | 0.422339 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3707498 | 0.42332 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3364397 | 0.423761 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363098 | 0.423769 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362796 | 0.42377 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4431402 | 0.425124 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4411574 | 0.42521 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4360788 | 0.425422 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3768750 | 0.427127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3794691 | 0.427902 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794220 | 0.427904 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830516 | 0.428127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2829302 | 0.428127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833644 | 0.428137 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3706346 | 0.428292 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2931770 | 0.42918 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2698198 | 0.433132 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2682473 | 0.433185 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2565671 | 0.433786 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2484922 | 0.434066 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758895 | 0.435314 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2200039 | 0.435536 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1700766 | 0.438238 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1539105 | 0.439275 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456112 | 0.439763 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1395766 | 0.440143 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176016 | 0.441251 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9741672 | 0.213594 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9730334 | 0.213597 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9733356 | 0.213597 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 9365652 | 0.213688 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10261679 | 0.21381 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9117910 | 0.213816 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10268390 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268390 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10268275 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268371 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.9] | 10268336 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 10268320 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 10268317 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10267558 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.9] | 10268339 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10268220 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268004 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10268299 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10268337 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10267498 | 0.213823 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10267391 | 0.213823 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10267445 | 0.213823 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10265719 | 0.213826 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10265766 | 0.213826 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10265503 | 0.213827 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10264796 | 0.213827 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10265072 | 0.213828 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10246600 | 0.213863 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10232603 | 0.21389 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10173266 | 0.214004 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10137363 | 0.214076 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7246270 | 0.216207 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 7197960 | 0.216277 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7147408 | 0.216413 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7145387 | 0.216423 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7146208 | 0.216425 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7362339 | 0.216707 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7373428 | 0.216722 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7378247 | 0.216723 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7339829 | 0.216762 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7341125 | 0.216763 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342591 | 0.216769 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7214951 | 0.216993 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7213180 | 0.216996 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7213784 | 0.217002 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8222957 | 0.218635 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8205983 | 0.218665 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7887789 | 0.219208 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 5592708 | 0.22 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5359661 | 0.220687 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5363327 | 0.220687 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5361294 | 0.220688 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4945810 | 0.221416 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4940444 | 0.221432 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4928355 | 0.221478 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6736293 | 0.221977 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6730462 | 0.221994 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6725943 | 0.222006 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4741084 | 0.222144 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4737750 | 0.222154 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736931 | 0.222155 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6310574 | 0.223174 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6301429 | 0.2232 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6290318 | 0.223233 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5703945 | 0.223677 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4296089 | 0.224223 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5378521 | 0.22446 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4191256 | 0.224647 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4189562 | 0.22465 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.5] | 4186886 | 0.224658 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3783438 | 0.225822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3782855 | 0.225824 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3781996 | 0.225825 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3707404 | 0.22616 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3706614 | 0.226162 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3706165 | 0.226163 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3446142 | 0.22773 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3987771 | 0.22815 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3881983 | 0.228452 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3076947 | 0.229054 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072966 | 0.229068 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3071983 | 0.229074 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4259760 | 0.229759 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4245659 | 0.229806 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4235341 | 0.229844 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111719 | 0.230295 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4091554 | 0.230369 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4084804 | 0.230396 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2726028 | 0.231245 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2725888 | 0.231245 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2724475 | 0.231254 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2827548 | 0.231655 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2486239 | 0.232138 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2485952 | 0.23214 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2484643 | 0.232147 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224237 | 0.234594 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2790123 | 0.235581 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2784189 | 0.235606 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2777866 | 0.235634 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1685281 | 0.240813 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1659881 | 0.240945 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647709 | 0.241008 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 524835 | 0.247503 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420590 | 0.248191 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 261028 | 0.249289 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193808 | 0.249767 | ../../result/log/zipf_1_18 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 8958412 | 0.152669 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 9198976 | 0.152684 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001014 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10001051 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001073 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001079 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10001064 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001075 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000989 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10000770 | 0.152707 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000863 | 0.152707 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000689 | 0.152707 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10000400 | 0.152708 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 9999791 | 0.152709 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9518277 | 0.152725 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9531160 | 0.152725 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9530717 | 0.152726 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9731125 | 0.153143 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9712664 | 0.153173 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9677477 | 0.153217 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9604512 | 0.153342 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586153 | 0.153375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9569726 | 0.153401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9557960 | 0.153421 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9546034 | 0.153441 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9539359 | 0.153452 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7124256 | 0.154171 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 7083041 | 0.154183 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7019488 | 0.154386 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7017240 | 0.154388 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7011633 | 0.1544 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7232044 | 0.155134 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 5473386 | 0.157045 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5230219 | 0.157625 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5227751 | 0.157629 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5228225 | 0.157633 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5209868 | 0.159533 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6416264 | 0.159598 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6414024 | 0.159604 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6410976 | 0.159612 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6037496 | 0.160511 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032945 | 0.160522 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4180333 | 0.160525 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6029208 | 0.160532 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4064793 | 0.160884 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4064000 | 0.160885 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4061832 | 0.160891 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5012318 | 0.162518 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4633926 | 0.163246 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4628946 | 0.163257 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696106 | 0.163353 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3329294 | 0.163546 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4358289 | 0.164 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354357 | 0.16401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4348912 | 0.164022 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4168860 | 0.165688 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4166293 | 0.165696 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4164948 | 0.1657 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021792 | 0.166162 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021129 | 0.166164 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4020404 | 0.166167 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2616633 | 0.16663 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2614507 | 0.166639 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2613531 | 0.166644 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3549900 | 0.166704 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3424820 | 0.166868 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3420968 | 0.166874 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3420634 | 0.166874 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3447337 | 0.167023 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2830581 | 0.167041 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3315878 | 0.167176 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3311610 | 0.16718 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3313663 | 0.16718 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2687574 | 0.169265 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2686271 | 0.169266 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2738946 | 0.169396 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839346 | 0.170344 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2826738 | 0.170393 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2821996 | 0.170412 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1884210 | 0.171862 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875598 | 0.171873 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1864572 | 0.171883 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022922 | 0.172008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746378 | 0.174979 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742595 | 0.174995 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739614 | 0.175008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216802 | 0.183554 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128368 | 0.184183 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101898 | 0.184375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9239193 | 0.0896547 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9134443 | 0.0897668 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9129080 | 0.0897711 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9127796 | 0.0897718 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9123854 | 0.0897756 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8679101 | 0.0897776 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9121194 | 0.0897778 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9118356 | 0.0897802 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8541240 | 0.0897861 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.8] | 8606890 | 0.0897961 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8606269 | 0.0897963 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8605948 | 0.0897965 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8876034 | 0.0900369 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8875782 | 0.0900375 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8873976 | 0.0900393 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871898 | 0.0900416 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871898 | 0.0900416 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8870323 | 0.0900431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7071600 | 0.0902846 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 7038189 | 0.0902871 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8398050 | 0.0905737 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8394273 | 0.0905789 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8392971 | 0.0905802 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6559790 | 0.0906075 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6559302 | 0.0906081 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6558997 | 0.0906083 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8347425 | 0.0906399 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8342049 | 0.0906462 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8339582 | 0.0906492 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 5452298 | 0.0915761 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4884896 | 0.0922985 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4884998 | 0.0922988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4885257 | 0.0922992 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6207283 | 0.0935239 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6205736 | 0.0935259 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6205631 | 0.093526 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6204563 | 0.0935274 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6205050 | 0.0935274 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6204516 | 0.0935275 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4087308 | 0.0936442 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3738067 | 0.0942871 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3737406 | 0.0942873 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3737695 | 0.0942873 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5440870 | 0.0948423 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5440331 | 0.0948431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5438445 | 0.0948469 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5425937 | 0.094869 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5425339 | 0.0948704 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5425052 | 0.0948708 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3202374 | 0.0956342 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206472 | 0.0972979 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206364 | 0.0972982 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206364 | 0.0972982 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206241 | 0.0972983 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4205763 | 0.0972989 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4205509 | 0.0972996 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4021280 | 0.0976172 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2379447 | 0.0982088 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2379087 | 0.0982092 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2378793 | 0.09821 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3760419 | 0.0983445 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3759353 | 0.098348 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3759032 | 0.0983493 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3726947 | 0.098431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726252 | 0.0984329 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3725664 | 0.0984347 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3002012 | 0.100368 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001303 | 0.10037 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000730 | 0.100371 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998393 | 0.100377 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998070 | 0.100379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998127 | 0.100379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2346146 | 0.102163 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2082036 | 0.103021 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1748734 | 0.104229 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1807986 | 0.104327 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807260 | 0.10433 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1806245 | 0.104333 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1790277 | 0.104379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789672 | 0.104381 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1788884 | 0.104384 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267830 | 0.106096 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87300 | 0.112988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 51051 | 0.113252 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35928 | 0.113367 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9774585 | 0.404917 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10082203 | 0.404951 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9740851 | 0.404951 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10077937 | 0.404953 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10079430 | 0.404954 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9724440 | 0.404975 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10133038 | 0.404988 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9666736 | 0.405001 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10207388 | 0.405041 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.9] | 10302179 | 0.405117 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.9] | 10300967 | 0.405117 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10302521 | 0.405119 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10310249 | 0.405126 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9504429 | 0.40516 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.9] | 10370212 | 0.405186 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.9] | 10398195 | 0.405215 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442777 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442777 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442674 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10442755 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442678 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8731810 | 0.405258 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10441576 | 0.405263 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8730846 | 0.405291 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8737350 | 0.405305 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8584122 | 0.405369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8589020 | 0.405382 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8591958 | 0.405388 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328686 | 0.405651 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328901 | 0.405658 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328073 | 0.405661 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7838599 | 0.408341 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.5] | 7777835 | 0.408477 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6917008 | 0.408525 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6915836 | 0.408529 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6914435 | 0.408534 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6870202 | 0.40863 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868092 | 0.408636 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6867548 | 0.408639 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7449074 | 0.409285 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647233 | 0.409316 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6645302 | 0.409327 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643912 | 0.409333 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7441699 | 0.409355 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447270 | 0.409369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8038537 | 0.412114 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5729486 | 0.412374 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728669 | 0.412378 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728158 | 0.412379 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7861385 | 0.412668 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7762167 | 0.412987 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.5] | 6101714 | 0.413416 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5394297 | 0.413707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5394857 | 0.413707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5393299 | 0.413714 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8244858 | 0.413813 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8244858 | 0.413813 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5626394 | 0.415125 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5605240 | 0.415182 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5578484 | 0.415245 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4780624 | 0.416355 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779895 | 0.416359 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779771 | 0.416359 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6739492 | 0.416374 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6618972 | 0.416793 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6559818 | 0.417008 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4547437 | 0.417477 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4546078 | 0.417482 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545854 | 0.417485 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4657178 | 0.418938 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090181 | 0.419771 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4089255 | 0.419775 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088791 | 0.419777 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4379187 | 0.420192 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4372916 | 0.420231 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4352719 | 0.420313 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5953935 | 0.421167 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4857424 | 0.422397 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3709293 | 0.423354 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3364481 | 0.42381 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363160 | 0.423819 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362791 | 0.423821 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4435289 | 0.425171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4415670 | 0.425257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4364878 | 0.425469 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3769376 | 0.427171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3800509 | 0.427938 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3799093 | 0.427947 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830825 | 0.428173 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2829026 | 0.428175 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833220 | 0.428188 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3710430 | 0.428343 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2931443 | 0.429238 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2700454 | 0.433171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2685039 | 0.43322 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2567686 | 0.433827 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2487045 | 0.434099 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1759129 | 0.435369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2201811 | 0.435574 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1703282 | 0.438273 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1542115 | 0.439306 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1458005 | 0.439802 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1397220 | 0.440189 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176733 | 0.441303 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9745686 | 0.213665 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9734226 | 0.213668 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9737676 | 0.213668 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 9368249 | 0.21376 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10263795 | 0.213873 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10270641 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270641 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10270565 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270627 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10270590 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.9] | 10270568 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.9] | 10270587 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270247 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10269849 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.9] | 10270589 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10270498 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10270549 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.9] | 10270564 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10269756 | 0.213884 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10269653 | 0.213884 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10269702 | 0.213884 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268048 | 0.213887 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268003 | 0.213887 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10267105 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10267913 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10267513 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9121423 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10250819 | 0.213922 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10237768 | 0.213947 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10178551 | 0.214057 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141980 | 0.214132 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7245985 | 0.216268 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.5] | 7198207 | 0.216341 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7147789 | 0.216477 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146054 | 0.216485 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7147145 | 0.216487 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7362596 | 0.216784 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7373487 | 0.216798 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7378245 | 0.2168 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7339958 | 0.216839 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7341063 | 0.216841 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342811 | 0.216847 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7213949 | 0.217073 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7212388 | 0.217075 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7213158 | 0.21708 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8225582 | 0.218702 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8208176 | 0.218733 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7889703 | 0.219279 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.5] | 5591193 | 0.220065 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5361338 | 0.220758 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5359165 | 0.220761 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5357160 | 0.220761 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4944365 | 0.22149 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4939071 | 0.221505 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4927336 | 0.221548 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6738149 | 0.222055 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6732679 | 0.22207 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6728160 | 0.222082 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4740122 | 0.222219 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4737502 | 0.222224 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736635 | 0.222227 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6314367 | 0.223239 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6304920 | 0.223266 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6294254 | 0.223297 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5704563 | 0.223749 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4293917 | 0.224299 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5379727 | 0.224537 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4189747 | 0.224721 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4187890 | 0.224725 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.5] | 4185335 | 0.224731 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3783950 | 0.22588 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3783360 | 0.225882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3782684 | 0.225883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3708704 | 0.226217 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3707682 | 0.22622 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3707309 | 0.226221 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3446082 | 0.227797 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3990730 | 0.228206 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3883613 | 0.228517 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3078255 | 0.229118 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3074438 | 0.22913 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3073381 | 0.229137 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4262655 | 0.229816 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4247721 | 0.229869 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4237422 | 0.229904 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4113768 | 0.230355 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4093623 | 0.230429 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4087149 | 0.230453 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2726451 | 0.231308 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2726410 | 0.231308 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2725232 | 0.231315 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2829720 | 0.231726 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2489838 | 0.232195 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2489585 | 0.232196 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2488451 | 0.232202 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2225772 | 0.234666 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2790002 | 0.235649 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2783985 | 0.235676 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2777892 | 0.235702 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682358 | 0.240908 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1658095 | 0.24103 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1646121 | 0.241091 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 525870 | 0.247567 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 421338 | 0.248257 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 259878 | 0.249368 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193843 | 0.249839 | ../../result/log/zipf_1_19 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 8963623 | 0.152749 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 9204046 | 0.152762 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10003444 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003468 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003474 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10003463 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003471 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003399 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10003230 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003304 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003403 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003166 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002848 | 0.152793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10002271 | 0.152794 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9527439 | 0.152809 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9540045 | 0.15281 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9539643 | 0.152811 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9736194 | 0.153226 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9718350 | 0.153254 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9686542 | 0.153302 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9608791 | 0.153425 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9590329 | 0.153458 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9573701 | 0.153485 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9561609 | 0.153505 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9549551 | 0.153526 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9542561 | 0.153538 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7122669 | 0.154279 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.5] | 7082399 | 0.154285 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018961 | 0.154486 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7016787 | 0.154489 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7011377 | 0.154498 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7236022 | 0.155212 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.5] | 5473127 | 0.157144 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5231219 | 0.157735 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5228001 | 0.15774 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5228702 | 0.157744 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5211471 | 0.159619 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6419320 | 0.15967 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6416760 | 0.159677 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6413917 | 0.159685 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6040435 | 0.16059 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035527 | 0.160602 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6031708 | 0.160611 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4180432 | 0.160631 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4063624 | 0.16099 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4062831 | 0.160991 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4060749 | 0.160996 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5014727 | 0.162587 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4634872 | 0.163328 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4630019 | 0.163338 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697660 | 0.163434 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3328040 | 0.16365 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4358524 | 0.164088 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354820 | 0.164095 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4349662 | 0.164106 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4168193 | 0.165781 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4165664 | 0.165789 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4164389 | 0.165793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021224 | 0.166255 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020467 | 0.166257 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4019870 | 0.16626 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2617038 | 0.166725 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2614883 | 0.166734 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2613982 | 0.166738 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3547472 | 0.166795 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3422829 | 0.166958 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3418885 | 0.166964 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3419143 | 0.166965 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3445218 | 0.167118 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2833469 | 0.167132 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3313887 | 0.167272 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311199 | 0.167277 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3309168 | 0.167279 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2689419 | 0.169347 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2688161 | 0.169347 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2740149 | 0.169474 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839119 | 0.170428 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2826644 | 0.170475 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2822285 | 0.170492 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1882802 | 0.17196 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874229 | 0.171972 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1863324 | 0.171982 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022841 | 0.172114 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1747213 | 0.175067 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1743406 | 0.175084 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1740286 | 0.175099 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216718 | 0.183648 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128654 | 0.184273 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101988 | 0.184469 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9241413 | 0.089703 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9142308 | 0.0898059 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8687945 | 0.0898086 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9137015 | 0.0898105 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9135706 | 0.0898118 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9131857 | 0.0898156 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9129103 | 0.0898186 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9126339 | 0.0898221 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8546144 | 0.0898246 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.8] | 8613404 | 0.0898297 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8612504 | 0.0898298 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8612834 | 0.0898298 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8885718 | 0.0900705 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8885540 | 0.0900707 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8883733 | 0.0900732 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8881911 | 0.0900756 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8881911 | 0.0900756 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8880205 | 0.0900783 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.5] | 7046696 | 0.0903306 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7078806 | 0.0903325 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8406465 | 0.0906164 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8402875 | 0.0906213 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8401407 | 0.0906235 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6570367 | 0.0906611 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6570572 | 0.0906615 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6571009 | 0.0906615 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8355243 | 0.0906845 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8350256 | 0.0906917 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8347871 | 0.0906953 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.5] | 5456760 | 0.091633 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4891710 | 0.0923776 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4891576 | 0.0923777 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4892065 | 0.0923778 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6213305 | 0.0935792 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6211696 | 0.093582 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6211630 | 0.0935821 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210984 | 0.0935835 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210437 | 0.0935847 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210484 | 0.0935848 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4094249 | 0.0936991 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3742200 | 0.0943506 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3742627 | 0.0943506 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3741938 | 0.094351 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5449365 | 0.0948911 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5448824 | 0.0948916 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5447047 | 0.0948944 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5433646 | 0.0949202 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5433109 | 0.094921 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5432704 | 0.0949214 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3206061 | 0.0956919 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4210030 | 0.0973652 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209872 | 0.0973656 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209872 | 0.0973656 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209709 | 0.0973661 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209273 | 0.0973674 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208949 | 0.0973683 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4025183 | 0.0976775 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2383206 | 0.098261 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2382856 | 0.0982613 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2382602 | 0.098262 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3765171 | 0.0984136 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3763831 | 0.0984161 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3763446 | 0.0984165 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3728076 | 0.0984957 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3727412 | 0.0984974 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3726882 | 0.0984986 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3002421 | 0.100464 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001864 | 0.100466 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001199 | 0.100468 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998705 | 0.100474 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998369 | 0.100475 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998397 | 0.100475 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2351261 | 0.102228 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2086051 | 0.103083 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1752836 | 0.104286 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1811701 | 0.104391 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1811005 | 0.104394 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1810195 | 0.104396 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1794046 | 0.104439 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1793392 | 0.104442 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1792436 | 0.104446 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268826 | 0.106166 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 86897 | 0.113065 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 50915 | 0.113329 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36230 | 0.113439 | ../../result/log/zipf_1_19 | 0.4 | 1 |